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Kamimura Ryotaro  上村 龍太郎

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KAMIMURA Ryotaro  上村 龍太郎

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Researcher Number 80176643
Other IDs
Affiliation (based on the past Project Information) *help 2017 – 2018: 東海大学, 情報教育センター, 非常勤講師
2016: 東海大学, 情報教育センター, 特任教授
2008 – 2014: Tokai University, 情報教育センター, 教授
2006 – 2007: 東海大学, 総合情報センター, 教授
2002 – 2003: 東海大学, 総合情報センター, 教授
2001: 東海大学, 電子計算センター, 教授
Review Section/Research Field
Principal Investigator
Sensitivity informatics/Soft computing / Soft computing / Intelligent informatics
Keywords
Principal Investigator
ニューラルネットワーク / 情報理論 / 自己組織化マップ / 相互情報量 / 競合学習 / 内部表現 / 情報量最大化 / 特徴抽出 / 汎化能力 / Radial-basis function … More / 多層ニューラルネットワーク / 自由エネルギー / 人工知能 / ソフトコンピューティング / 中間層 / 自己符号化器 / デープラーニング / 集合的解釈 / ディープラーニング / 情報劣化 / 解釈能力 / 情報圧縮 / 解釈 / Competitive learning / Cost / Back-propagation / Information Maximization / Supervised learning / Unsupervised learning / Neural networks / 自然言語処理 / 授受動詞 / 言語習得 / 特徴発見 / 教師なし学習 / 教師付き学習 / 情報量 / コスト / 誤差伝播法 / 情報量最大化法 / 教師有り学習法 / 教師なし学習法 / クラス構造 / 重要性分析 / 教師付学習 / 機械学習 / 変数選択 / 段階的情報最大 / 深層学習 / 能動学習 / 情報論的方法 / エンハンスメント / エントロピー / 強制情報 / ソフト競合 / 学習 / 情報量損失 / SOM / 情報損失 / 情報エンハンスメント Less
  • Research Projects

    (5 results)
  • Research Products

    (169 results)
  • Co-Researchers

    (4 People)
  •  Generalized competitive learning for improving and interpreting neural networksPrincipal Investigator

    • Principal Investigator
      Kamimura Ryotaro
    • Project Period (FY)
      2016 – 2018
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Soft computing
    • Research Institution
      Tokai University
  •  Information-theoretic self-organizing maps and its applicationPrincipal Investigator

    • Principal Investigator
      KAMIMURA Ryotaro
    • Project Period (FY)
      2012 – 2014
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Sensitivity informatics/Soft computing
    • Research Institution
      Tokai University
  •  Information Enhancement for Interpreting Internal Representation in Neural NetworksPrincipal Investigator

    • Principal Investigator
      KAMIMRUA Ryotaro
    • Project Period (FY)
      2009 – 2011
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Sensitivity informatics/Soft computing
    • Research Institution
      Tokai University
  •  Information-Theoretic Competitive Learning and its Application to Human Information ProcessingPrincipal Investigator

    • Principal Investigator
      KAMIMURA Ryotaro
    • Project Period (FY)
      2006 – 2008
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Sensitivity informatics/Soft computing
    • Research Institution
      Tokai University
  •  Realizing competitive learning by information maximization and its application to language acquisitionPrincipal Investigator

    • Principal Investigator
      KAMIMURA Ryotaro
    • Project Period (FY)
      2001 – 2003
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Intelligent informatics
    • Research Institution
      TOKAI UNIVERSITY

All 2019 2018 2017 2016 2014 2013 2012 2011 2010 2009 2008 2007 2006

All Journal Article Presentation Book

  • [Book] ビジュアルデータアナリシス(上村担当部分、pp.83-93)2007

    • Author(s)
      山下俊恵、上村龍太郎、高橋隆男、橋本政樹, 他
    • Publisher
      東海大学出版会
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Book] 社会知能システム入門(上村担当部分、pp.1-5, 53-82, 90-91)2007

    • Author(s)
      上村龍太郎、吉田文彦、山下俊恵, 他
    • Publisher
      東海大学出版会
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Book] 社会知能システム入門2006

    • Author(s)
      上村龍太郎他
    • Total Pages
      123
    • Publisher
      東海大学出版会
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Sparse semi-autoencoders to solve the vanishing information problem in multi-layered neural networks2019

    • Author(s)
      Kamimura Ryotaro and Takeuchi Haruhiko
    • Journal Title

      Applied Intelligence

      Volume: - Issue: 7 Pages: 1-24

    • DOI

      10.1007/s10489-018-1393-x

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16K00339
  • [Journal Article] Supposed Maximum Mutual Information for Improving Generalization and Interpretation of Multi-Layered Neural Networks2019

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      Journal of Artificial Intelligence and Soft Computing Research

      Volume: 9.2 Issue: 2 Pages: 123-147

    • DOI

      10.2478/jaiscr-2018-0029

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16K00339
  • [Journal Article] SOM-based information maximization to improve and interpret multi-layered neural networks: From information reduction to information augmentation approach to create new information2019

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      Expert systems with applications

      Volume: 125 Pages: 397-411

    • DOI

      10.1016/j.eswa.2019.01.056

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16K00339
  • [Journal Article] Neural self-compressor: Collective interpretation by compressing multi-layered neural networks into non-layered networks2019

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      Neurocomputing

      Volume: 323 Pages: 12-36

    • DOI

      10.1016/j.neucom.2018.09.036

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16K00339
  • [Journal Article] Collective mutual information maximization to unify passive and positive approaches for improving interpretation and generalization2017

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      Neural Networks

      Volume: 90 Pages: 56-71

    • DOI

      10.1016/j.neunet.2017.03.001

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16K00339
  • [Journal Article] Identifying Important Tweets by Considering the Potentiality of Neurons2017

    • Author(s)
      (6)Kitajima, R., Kamimura, R., Uchida, O., & Toriumi, F
    • Journal Title

      IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences

      Volume: 99 Pages: 1555-1559

    • NAID

      130005253730

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16K00339
  • [Journal Article] Potential information maximization: Potentiality-driven information maximization and its application to Tweets classification and interpretation2016

    • Author(s)
      (1)Kitajima, R., Kamimura, R., Uchida, O., & Toriumi, F
    • Journal Title

      International Journal of Computer Information Systems and Industrial Management Applications

      Volume: 8 Pages: 42-51

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16K00339
  • [Journal Article] Information-Theoretic Active SOM for Improving Generalization Performance2016

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      International Journal of Advanced Research in Artificial Intelligence

      Volume: 5 Issue: 8 Pages: 21-30

    • DOI

      10.14569/ijarai.2016.050804

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16K00339
  • [Journal Article] Simplified Information Maximization for Improving Generalization Performance in Multilayered Neural Networks.2016

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      Mathematical Problems in Engineering

      Volume: 2016 Pages: 1-17

    • DOI

      10.1155/2016/3015087

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16K00339
  • [Journal Article] Explicit knowledge extraction in information-theoretic supervised multi-layered SOM2014

    • Author(s)
      上村龍太郎
    • Journal Title

      Proceedings of IEEE Symposium on Foundations of Computational Intelligence

      Volume: 2014 Pages: 78-83

    • DOI

      10.1109/foci.2014.7007810

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-24500283
  • [Journal Article] Double Competition for Information-Theoretic SOM2014

    • Author(s)
      上村龍太郎
    • Journal Title

      International Journal of Advanced Research in Artificial Intelligence

      Volume: 3 Issue: 11 Pages: 21-30

    • DOI

      10.14569/ijarai.2014.031104

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-24500283
  • [Journal Article] Input information maximization for improving self-organizing maps2014

    • Author(s)
      上村龍太郎
    • Journal Title

      Applied Intelligence

      Volume: 41 Issue: 2 Pages: 421-438

    • DOI

      10.1007/s10489-014-0525-1

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-24500283
  • [Journal Article] Simplified Information Maximization for Improving Multi-layered Neural Networks2014

    • Author(s)
      上村龍太郎
    • Journal Title

      Proceedings of the IASTED International Conference on Computational Intelligence

      Volume: 2015 Pages: 262-268

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-24500283
  • [Journal Article] Information acquisition performance by supervised information-theoretic self-organizing maps2014

    • Author(s)
      上村龍太郎
    • Journal Title

      Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC)

      Volume: 2014 Pages: 151-157

    • DOI

      10.1109/nabic.2014.6921870

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-24500283
  • [Journal Article] Cooperation-Controlled Learning for Explicit Class Structure in Self-Organizing Maps2014

    • Author(s)
      上村龍太郎
    • Journal Title

      The Scientific World Journal

      Volume: 2014 Pages: 1-24

    • DOI

      10.1155/2014/397927

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-24500283
  • [Journal Article] Improving visualisation and prediction performance of supervised self-organising map by modified contradiction resolution2014

    • Author(s)
      上村龍太郎
    • Journal Title

      Connection Science

      Volume: 27 Issue: 1 Pages: 40-67

    • DOI

      10.1080/09540091.2014.956288

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-24500283
  • [Journal Article] Information-theoretic multi-layered supervised self-organizing maps for improved prediction performance and explicit internal representation2014

    • Author(s)
      上村龍太郎
    • Journal Title

      Proceedings ofIEEE International Conference on Systems, Man and Cybernetics (SMC)

      Volume: 2014 Pages: 78-73

    • DOI

      10.1109/smc.2014.6974035

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-24500283
  • [Journal Article] GRADUAL INFORMATION MAXIMIZATION IN INFORMATION ENHANCEMENT TO EXTRACT IMPORTANT INPUT NEURONS2013

    • Author(s)
      Ryotaro Kamimura and Ryozo Kitajima
    • Journal Title

      Proceedings of the IASTED International Conference Artificial Intelligence and Applications

      Volume: -

    • DOI

      10.2316/p.2014.816-008

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24500283
  • [Journal Article] Contradiction resolution with explicit and limited evaluation and its application to SOM2013

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      Proceedings of international conference on neural networks

      Volume: - Pages: 1-8

    • DOI

      10.1109/ijcnn.2013.6706999

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24500283
  • [Journal Article] Interacting Individually and Collectively Treated Neurons for Improved Visualization2013

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      Studies in Computational Intelligence

      Volume: 465 Pages: 277-290

    • DOI

      10.1007/978-3-642-35638-4_18

    • ISBN
      9783642356377, 9783642356384
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24500283
  • [Journal Article] Controlling Relations between the Individuality and Collectivity of Neurons and its Application to Self-Organizing Maps2013

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      Neural Processing Letters

      Volume: 38 Issue: 2 Pages: 177-203

    • DOI

      10.1007/s11063-012-9256-7

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24500283
  • [Journal Article] Contradiction Resolution with Dependent Input Neuron Selection for Self-Organizing Maps2013

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      Proceedings of international conference on systems, man and cybernetics

      Volume: - Pages: 1353-1360

    • DOI

      10.1109/smc.2013.234

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24500283
  • [Journal Article] Contradiction Resolution of Competitive and Input Neurons to Improve Prediction and Visualization Performance2013

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      International Journal of Advanced Research in Artificial Intelligence

      Volume: 2 Issue: 12 Pages: 42-51

    • DOI

      10.14569/ijarai.2013.021206

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24500283
  • [Journal Article] Dependent input neuron selection in contradiction resolution,2013

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      Computational Intelligence & Applications

      Volume: - Pages: 45-50

    • DOI

      10.1109/iwcia.2013.6624781

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24500283
  • [Journal Article] Repeated comprehensibility maximization in competitive learning2013

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      Neural Computing and Applications

      Volume: 22 Pages: 911-932

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24500283
  • [Journal Article] Contradiction Resolution between Self and Outer Evaluation for Supervised Multi-Layered Neural Networks2013

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      International Journal of Advanced Research in Artificial Intelligence

      Volume: 2 Issue: 7 Pages: 29-38

    • DOI

      10.14569/ijarai.2013.020706

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24500283
  • [Journal Article] Comprehensibility maximization and humanly comprehensible representations2012

    • Author(s)
      R. Kamimura
    • Journal Title

      International Journal of General Systems

      Volume: Vol.41, No.3 Pages: 265-287

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Double enhancement learning for explicit internal representations: unifying self-enhancement and information enhancement to incorporate information on input variables2012

    • Author(s)
      上村龍太郎
    • Journal Title

      Applied Intelligence

      Volume: 36 Issue: 4 Pages: 834-856

    • DOI

      10.1007/s10489-011-0300-5

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24500283
  • [Journal Article] Social Interaction and Self-Organizing Maps2012

    • Author(s)
      上村龍太郎
    • Journal Title

      Application of self-organizing maps

      Volume: - Pages: 27-42

    • DOI

      10.5772/51705

    • ISBN
      9789535108627
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24500283
  • [Journal Article] Separation and unification of individuality and collectivity and its application to explicit class structure in self-organizing maps2012

    • Author(s)
      上村龍太郎
    • Journal Title

      Artificial Neural Networks and Machine Learning--ICANN 2012

      Volume: 7553 Pages: 387-394

    • DOI

      10.1007/978-3-642-33266-1_48

    • ISBN
      9783642332654, 9783642332661
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24500283
  • [Journal Article] Contradiction resolution and its application to self-organizing maps2012

    • Author(s)
      上村龍太郎
    • Journal Title

      Proceedings of IEEE conference on Systems, Man, and Cybernetics

      Volume: - Pages: 1966-1971

    • DOI

      10.1109/icsmc.2012.6378026

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24500283
  • [Journal Article] Interaction of individually and collectively treated neurons for explicit class structure in self-organizing maps2012

    • Author(s)
      上村龍太郎
    • Journal Title

      Proceedings of International Joint Conference on Neural Networks (IJCNN)

      Volume: - Pages: 1-8

    • DOI

      10.1109/ijcnn.2012.6252415

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24500283
  • [Journal Article] Relative information maximization and its application to the extraction of explicit class structure in SOM2012

    • Author(s)
      上村龍太郎
    • Journal Title

      Neurocomputing

      Volume: 82 Pages: 37-61

    • DOI

      10.1016/j.neucom.2011.09.031

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24500283
  • [Journal Article] Similarity interaction in information-theoretic self-organizing maps2012

    • Author(s)
      上村龍太郎
    • Journal Title

      International Journal of General Systems

      Volume: 42 Issue: 3 Pages: 1-29

    • DOI

      10.1080/03081079.2012.723209

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24500283
  • [Journal Article] Supposed maximum information for comprehensible representations in SOM2011

    • Author(s)
      R. Kamimura
    • Journal Title

      Neurocomputing

      Volume: Vol.74, No.7 Pages: 1116-1134

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Constrained Information maximization by free energy minimization2011

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      International Journal of General Systems

      Volume: 40 Issue: 7 Pages: 701-725

    • DOI

      10.1080/03081079.2010.549486

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Information-theoretic approach to interpret internal representations of self-Organizing maps2011

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      Self Organizing Maps-Applications and Novel Algorithm Design

      Pages: 1-30

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Structural enhanced information and its application to improved visualization of self-organizing maps2011

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      Applied Intelligence

      Volume: 34 Pages: 102-115

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Constrained Information maximization by free energy minimization2011

    • Author(s)
      R. Kamimura
    • Journal Title

      International Journal of General Systems

      Volume: Vol.40.No.7 Pages: 701-725

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Selective information enhancement learning for creating interpretable representations in competitive learning2011

    • Author(s)
      R. Kamimura
    • Journal Title

      Neural Networks

      Volume: Vol.24, No.4 Pages: 387-405

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Explicit class structure with closeness and similarity between neurons2011

    • Author(s)
      R. Kamimura
    • Journal Title

      Proceedings of World Congress on Nature and Biologically Inspired Computing(NaBIC)

      Pages: 92-98

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Self-enhancement learning : target-creating learning and its application to self-organizmg maps2011

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      Biological Cybernetics

      Volume: 104 Issue: 4-5 Pages: 305-338

    • DOI

      10.1007/s00422-011-0434-x

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Explicit class structure with closeness and similarity between neurons2011

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      Proceedings of NaBIC

      Pages: 92-98

    • DOI

      10.1109/nabic.2011.6089423

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Comprehensibility maximization and humanly comprehensible representations2011

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      International Journal of General Systems

      Volume: 41 Issue: 3 Pages: 265-287

    • DOI

      10.1080/03081079.2011.643471

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Cooperation control and enhanced class structure in self-organizing maps2011

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      Proceedings of International Joint Conference on Neural Networks

      Pages: 689-695

    • DOI

      10.1109/ijcnn.2011.6033288

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Self-enhancement learning : target-creating learning and its application to self-organizing maps2011

    • Author(s)
      R. Kamimura
    • Journal Title

      Biological Cybernetics

      Volume: Vol.104 Pages: 305-338

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Cooperation control and enhanced class structure in self-organizing maps2011

    • Author(s)
      R. Kamimura
    • Journal Title

      Proceedings of the International Joint Conference on Neural Networks

      Pages: 689-695

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Structural enhanced information and its application to improved visualization of self-organizing maps2011

    • Author(s)
      R. Kamimura
    • Journal Title

      Applied Intelligence

      Volume: Vol.34, No.1 Pages: 102-115

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Selective information enhancement learning for creating interpretable representations in competitive learning2011

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      Neural Networks

      Volume: 24 Pages: 387-405

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Explicit Class Structure by Weighted Cooperative Learning2011

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      LNCS

      Volume: 6791 Pages: 109-116

    • DOI

      10.1007/978-3-642-21735-7_14

    • ISBN
      9783642217340, 9783642217357
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Supposed maximum information for comprehensible representations in SOM2011

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      Neurocomputing

      Volume: 74 Pages: 1116-1134

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Explicit class structure by weighted cooperative learning2011

    • Author(s)
      R. Kamimura
    • Journal Title

      Lecture Notes in Computer Science

      Volume: Vol.6791 Pages: 109-116

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Pseudo-network growing for gradual interpretation of input patterns2010

    • Author(s)
      R. Kamimura
    • Journal Title

      LNCS(Lecture Notes in Computer Science, Neural Information Processing, Models and Applications)

      Volume: Vol.6444 Pages: 375-382

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Pseudo-network growing for gradual interpretation of input patterns2010

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      LNCS

      Volume: 6444 Pages: 375-382

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Contradiction resolution and its application to self-organizing maps2010

    • Author(s)
      R. Kamimura
    • Journal Title

      Proceedings of IASTED artificial intelligence and applications

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Information enhancement for interpreting competitive learning2010

    • Author(s)
      R. Kamimura
    • Journal Title

      International Journal of General Systems

      Volume: Vol.39, No.7 Pages: 705-728

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Information maximization for variable selection in competitive learning2010

    • Author(s)
      R. Kamimura
    • Journal Title

      Proceedings of IASTED artificial intelligence and applications

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Information-theoretic enhancement learning and its apphcation to visualization of self-organizing maps2010

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      Neurocomputing

      Volume: 73 Pages: 2642-2664

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Information-theoretic enhancement learning and its application to visualization of self-organizing maps2010

    • Author(s)
      R. Kamimura
    • Journal Title

      Neurocomputing

      Volume: Vol.73, No.13-15 Pages: 2642-2664

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Information-theoretic competitive and cooperative learning for self-organizing Maps2010

    • Author(s)
      R. Kamimura
    • Journal Title

      LNCS(Lecture Notes in Computer Science, Neural Information Processing, Models and Applications)

      Volume: Vol.6444 Pages: 423-430

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Explicit class structure produced by information-theoretic competitive and cooperative learning2010

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      Proceedings of World Congress on Nature and Biologically Inspired Computing

      Pages: 628-633

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Explicit class structure produced by information-theoretic competitive and cooperative learning2010

    • Author(s)
      R. Kamimura
    • Journal Title

      Proceedings of World Congress on Nature and Biologically Inspired Computing

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Generation of comprehensible representations by supposed maximum information2010

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      LNCS

      Volume: 6353 Pages: 333-342

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Generation of comprehensible representations by supposed maximum information2010

    • Author(s)
      R. Kamimura
    • Journal Title

      LNCS(Lecture Notes in Computer Science, Artificial Neural Networks)

      Volume: Vol.6353 Pages: 333-342

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Information-theoretic competitive and cooperative learning for self-organizing Maps2010

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      LNCS

      Volume: 6444 Pages: 423-430

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Structural enhanced information to detect features in competitive learning2009

    • Author(s)
      R. Kamimura
    • Journal Title

      Proceedings of IEEE international conference on systems, man and cybernetics

      Pages: 3395-3401

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Self-enhancement learning : self-supervised and target-creating learning2009

    • Author(s)
      R. Kamimura
    • Journal Title

      Proceedings of international joint conference of neural networks

      Pages: 1503-1509

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Enhanced visualization by combing SOM and mixture models2009

    • Author(s)
      R. Kamimura
    • Journal Title

      LNCS(Lecture Notes in Computer Science, Advances in Neuro-Information Processing)

      Volume: Vol.5507 Pages: 268-275

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Self-enhancement learning : Self-supervised and target-creating learning2009

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      Proceedings of the international joint conference on neural networks

      Pages: 1503-1509

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Feature Discovery by Information Loss2009

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      Journal of Computers 4(10)

      Pages: 943-953

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Self-supervised learning by information enhancement : Target-generating and spontaneous learning for competitive learning2009

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      Proceedings of IEEE international conference on systems, man and cybernetics

      Pages: 113-119

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Supervised enhanced learning to simplify internal representations of multi-layered networks2009

    • Author(s)
      上村龍太郎
    • Journal Title

      Proceedings of the IASTED international conference on artificial intelligence and applications

      Pages: 169-174

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Feature Detection by Structural Enhanced Information2009

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      Lecture Notes in Computer Science 5507

      Pages: 171-178

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Feature discovery by information loss2009

    • Author(s)
      R. Kamimura
    • Journal Title

      Journal of Computers

      Volume: Vol.4, No.10 Pages: 943-953

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Collective activations to generate self-organizing maps2009

    • Author(s)
      R. Kamimura
    • Journal Title

      LNCS(Lecture Notes in Computer Science, Advances in Neuro-Information Processing)

      Volume: Vol.5507 Pages: 943-950

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Assimilation of individual activities to collective onesto produce explicit self-organizing maps2009

    • Author(s)
      上村龍太郎
    • Journal Title

      Proceedings of the IASTED international conference on artificial intelligence and applications

      Pages: 158-162

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Assimilation of individual activities to collective ones to produce explicit self-organizing maps2009

    • Author(s)
      Kamimura
    • Journal Title

      in Proceedings of the IASTED international conference on artificial intelligence and applications (AIA2009)

      Pages: 158-162

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Forced information for information-theoretic competitive learning2009

    • Author(s)
      R. Kamimura
    • Journal Title

      in Machine learning IN-TECH

      Pages: 125-144

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Feature detection by structural enhanced information2009

    • Author(s)
      R. Kamimura
    • Journal Title

      LNCS(Lecture Notes in Computer Science, Advances in Neuro-Information Processing)

      Volume: Vol.5507 Pages: 171-178

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Relative relaxation and weighted information loss to simplify and stabilize feature detection2009

    • Author(s)
      R. Kamimura
    • Journal Title

      Journal of Advanced Computational Intelligence and Intelligent Informatics

      Volume: Vol.13, No.4 Pages: 489-498

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Selective enhancement learning in competitive learning2009

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      Proceedings of the international joint conference on neural networks

      Pages: 1497-1502

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Enhanced Visualization by Combing SOM and Mixture Models2009

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      Lecture Notes in Computer Science 5507

      Pages: 268-275

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Supervised enhanced learning to simplify internal representations of multilayered networks2009

    • Author(s)
      R. Kamimura
    • Journal Title

      in Proceedings of the IASTED international conference on artificial intelligence and applications (AIA2009)

      Pages: 169-174

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] An information-theoretic approach to feature extraction in competitive learning2009

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      Neurocomputing 72(10-12)

      Pages: 2693-2704

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Collective Activations to Generate Self-Organizing Maps2009

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      Lecture Notes in Computer Science 5507

      Pages: 943-950

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Relative Relaxation and Weighted Information Loss to Simplify and Stabilize Feature Detection2009

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      Journal of Advanced Computational Intelligence and Intelligent Informatics 13(4)

      Pages: 489-498

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] An information-theoretic approach to feature extraction in competitive learning2009

    • Author(s)
      R. Kamimura
    • Journal Title

      Neurocomputing

      Volume: Vol.72, No.10-12 Pages: 2693-2704

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Enhancing and relaxing competitive units for feature discovery2009

    • Author(s)
      R. Kamimura
    • Journal Title

      Neural Processing Letters

      Volume: Vol.30, No.1 Pages: 37-57

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Partially Enhanced Competitive Learning2009

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      Lecture Notes in Computer Science 5507

      Pages: 163-170

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Structural enhanced information to detect features in competitive learning2009

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      Proceedings of IEEE international conference on systems, man and cybernetics

      Pages: 3395-3401

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Partially enhanced competitive learning2009

    • Author(s)
      R. Kamimura
    • Journal Title

      LNCS(Lecture Notes in Computer Science, Advances in Neuro-Information Processing)

      Volume: Vol.5507 Pages: 163-170

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Enhancing and Relaxing Competitive Units for Feature Discovery2009

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      Neural processing letters 30(1)

      Pages: 37-57

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Self-supervised learning by information enhancement : target-generating and spontaneous learning for competitive learning2009

    • Author(s)
      R. Kamimura
    • Journal Title

      Proceedings of IEEE international conference on systems, man and cybernetics

      Pages: 113-119

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21500221
  • [Journal Article] Free Energy-Based Competitive Learning for Mutual Information Maximization2008

    • Author(s)
      R. Kamimura
    • Journal Title

      Proceedings of IEEE SMC International Conference on Distributed Human-Machine Systems

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] An Information-Theoretic Approach to Feature Extraction in Competitive Learning2008

    • Author(s)
      R.Kamimura, T. Taniguchi and R. Kitajima
    • Journal Title

      Proceeding of Artificial Intelligence and Applications

      Pages: 388-394

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Conditional information and information loss for flexible feature extraction2008

    • Author(s)
      上村龍太郎
    • Journal Title

      Proceedings of the international joint conference on neural networks

      Pages: 2047-2083

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Feature detection and information loss in competitive learning2008

    • Author(s)
      R. Kamimura
    • Journal Title

      in Proceedings of the international conference on soft computing and intelligent systems and the international symposium on advanced intelligent systems(SCIS and ISIS2008)

      Pages: 1144-1148

    • NAID

      130004672704

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Supervised Competitive Learning for Explicit Internal Representations2008

    • Author(s)
      R. Kamimura
    • Journal Title

      Proceedings of IEEE SMC International Conference on Distributed Human-Machine Systems

      Pages: 223-227

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Feature discovery by enhancement and relaxation of competitive units2008

    • Author(s)
      R. Kamimura
    • Journal Title

      in Intelligent data engineering and automated learning-IDEAL2008(LNCS), Springer vol.LNCS5326

      Pages: 148-155

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Interpreting and improving multi-layered networks by free energy-based competitive learning, "2008

    • Author(s)
      上村龍太郎
    • Journal Title

      Proceedings of the international conference on systems, man, and cybernetics

      Pages: 1812-1818

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Free Energy-based Competitive Learning and Minimum Information Production Learning2008

    • Author(s)
      R. Kamimura
    • Journal Title

      Proceeding of Artificial Intelligence and Applications

      Pages: 395-400

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Interpreting and improving multi-layered networks by free energy-based competitive learning2008

    • Author(s)
      R. Kamimura
    • Journal Title

      in Proceedings of the international conference on systems, man, and cybernetics(SMC2008)

      Pages: 1812-1818

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Feature discovery by enhancement and relaxation of competitive units2008

    • Author(s)
      上村龍太郎
    • Journal Title

      LNCS 5326

      Pages: 148-155

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Feature detection and information loss in competitive learning2008

    • Author(s)
      上村龍太郎
    • Journal Title

      Proceedings of the international conference on soft computing and intelligent systems

      Pages: 1144-1148

    • NAID

      130004672704

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Mutual information maximization by free energy-based competitive learning for self-organizing maps2008

    • Author(s)
      上村龍太郎
    • Journal Title

      Proceedings of the international conference on systems, man, and cybernetics

      Pages: 1819-1825

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Conditional information and information loss for flexible feature extraction2008

    • Author(s)
      R. Kamimura
    • Journal Title

      in Proceedings of the international joint conference on neural networks(IJCNN2008)

      Pages: 2047-2083

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Free Energy-based Competitive Learning for Self-Organizing Maps2008

    • Author(s)
      R. Kamimura
    • Journal Title

      Proceedings of Artificial Intelligence and Applications

      Pages: 414-419

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Mutual information maximization by free energy-based competitive learning for self-organizing maps2008

    • Author(s)
      R. Kamimura
    • Journal Title

      in Proceedings of the international conference on systems, man, and cybernetics(SMC2008)

      Pages: 1819-1825

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Greedy network-growing algorithm with Minkowski distances2007

    • Author(s)
      R. Kamimura, O. Uchida and S. Hashimoto
    • Journal Title

      International Journal of General Sytems vol.36

      Pages: 157-177

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Information-Theoretic Competitice Learning with Supposed Maximum Information:Combining Hard and Soft Competition in Infbrmation-Theoretic Learning2007

    • Author(s)
      Ryotaro Kamimura
    • Journal Title

      International Journas of information technology and intelligentsystems 2(1)

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Combining Hard and Soft Competition in Information-Theoretic Learning2007

    • Author(s)
      R. Kamimura
    • Journal Title

      Proceedings of IEEE symposium on foundations of computational intelligence

      Pages: 578-582

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Information loss to extract distinctive features in competitive learning2007

    • Author(s)
      R. Kamimura
    • Journal Title

      Proceedingsof IEEE Conference on Systems, Man, and Cybernetics

      Pages: 1217-1222

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Interpreting Cabinet Approval Ratings by Neural Networks2007

    • Author(s)
      R. Kamimura, F. Yoshida, R. Kitajima
    • Journal Title

      Proceedings of Conferences on Artificial Intelligenceand Applications

      Pages: 64-68

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Supervised Information Maximization by Weighted Distance2007

    • Author(s)
      R. Kamimura
    • Journal Title

      Proceedings of International Conference on Neural Networks

      Pages: 3456-3462

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Forced Information and Information Loss in information-Theoretic Competitive Learning2007

    • Author(s)
      R. Kamimura
    • Journal Title

      Proceedings of Conferences on Artificial Intelligence and Applications

      Pages: 69-74

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Controlled Competitive Learning : Extending Competitive Learning to Supervised Learning2007

    • Author(s)
      R. Kamimura
    • Journal Title

      IJCNN 2007. International Joint Conference on 12-17 Aug. 2007

      Pages: 1767-1773

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Greedy network-9rowingalgorithm with Minkowski distances2007

    • Author(s)
      R.Kamimura, 0.Uchida and S.Hashimoto
    • Journal Title

      International Journal of General Systems. 36

      Pages: 157-177

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Forced Information Maximization to Accelerate Information-Theoretic Competitive Learning2007

    • Author(s)
      R. Kamimura, and R. Kitajima
    • Journal Title

      IJCNN 2007. International Joint Conference on 12-17 Aug. 2007

      Pages: 1779-1784

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Partially Activated Neural Networks by Controlling Information2007

    • Author(s)
      R. Kamimura
    • Journal Title

      Lecture Notes in Computer Science LNCS4668

      Pages: 1611-3349

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Cooperative information maximization with Gaussian acitivation functions for self-organizing maps2007

    • Author(s)
      R. Kamimura
    • Journal Title

      IEEE Transactions on Neural Networks Vol.17, No.4

      Pages: 909-918

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Forced Information and Information Loss for a Student Survey Analysis2007

    • Author(s)
      R. Kamimura
    • Journal Title

      Foundations of Computational Intelligence, 2007. FOCI 2007. IEEE Symposium on

      Pages: 630-636

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] nformation-Theoretic Variable Selection in Neural Networks2007

    • Author(s)
      R. Kamimura, F. Yoshida, T. Yamashita and R. Kitajima
    • Journal Title

      Proceedings of IEEE symposium on foundations of computational intelligence

      Pages: 578-582

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Controlling Excessive Information by Surface Information Criterion for Information-Theoretic Self-Organizing Maps2006

    • Author(s)
      R.Kamimura
    • Journal Title

      Proceedings of IEEE Conference on Systems, Man, and Cybernetics

      Pages: 5130-5134

    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Self-organizing by Information Maximization : Realizing Self-Organizing Maps by Information-Theoretic Competitive Learning2006

    • Author(s)
      R.Kamimura
    • Journal Title

      Proceedings of ICONIP2006, Neural Information Processing LNCS4232

      Pages: 925-934

    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Collective Information-Theoretic Competitive Learning : Emergency of Improved Performance by Collectively Treated Neurons Learning2006

    • Author(s)
      R. Kamimura, F. Yoshida, R. Kitajima
    • Journal Title

      LNCS 4232

      Pages: 626-633

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Inference of Cabinet Approval Ratings by Neural Networks2006

    • Author(s)
      R. Kamimura, F. Yoshida, R. Kitajima
    • Journal Title

      Proceedings of SCIS

      Pages: 213-217

    • NAID

      130004672497

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Cooperative information maximization with Gaussian activation functions for self-organizing maps2006

    • Author(s)
      R.Kamimura
    • Journal Title

      IEEE transactions on neural networks 17

      Pages: 909-918

    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Controlling Excessive Information by Surface Information Criterion for Information-Theoretic Self-Organizing Maps2006

    • Author(s)
      R. Kamimura
    • Journal Title

      Proceedingsof IEEE Conference on Systems, Man, and Cybernetics

      Pages: 5130-5134

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Self-organizing by Information Maximization : Realizing Self-Organizing Maps by Information-Theoretic Competitive Learning2006

    • Author(s)
      R. Kamimura
    • Journal Title

      LNCS 4232

      Pages: 925-934

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Automatic Inference of Cabinet Approval Ratings by Information-Theoretic Competitive Learning2006

    • Author(s)
      R. Kamimura
    • Journal Title

      LNCS 4232

      Pages: 897-908

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Student Survey by Information-Theoretic Competitive Learning2006

    • Author(s)
      R. Kamimura
    • Journal Title

      Proceedingsof IEEE Conference on Systems, Man, and Cybernetics

      Pages: 5135-5140

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Supervised Information Maximization by Weighted Distance2006

    • Author(s)
      R.Kamimura
    • Journal Title

      Proceedings of International Joint Conference on Neural Networks

      Pages: 3456-3462

    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Automatic Inference of Cabinet Approval by Information-Theoretic Competitive Learning2006

    • Author(s)
      R.Kamimura
    • Journal Title

      Proceedings of ICONIP2006, Neural Information Processing LNCS4232

      Pages: 897-908

    • Data Source
      KAKENHI-PROJECT-18500179
  • [Journal Article] Collective Information-Theoretic Competitive Learning : Emergency of Improved Performance by Collectively Treated Neurons2006

    • Author(s)
      R.Kamimura et al.
    • Journal Title

      Proceedings of ICONIP2006, Neural Information Processing LNCS4232

      Pages: 626-633

    • Data Source
      KAKENHI-PROJECT-18500179
  • [Presentation] Correlation-Constrained Mutual Information Maximization for Interpretable Multi-Layered Neural Networks2018

    • Author(s)
      Ryotaro Kamimura and Haruhiko Takeuchi
    • Organizer
      Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00339
  • [Presentation] Autoeoncoders and Information Augmentation for Improved Generalization and Interpretation in Multi-layered Neural Networks2018

    • Author(s)
      Ryotaro Kamimura
    • Organizer
      International Symposium on Computational and Business Intelligence (ISCBI)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00339
  • [Presentation] Autoeconder-Based Excessive Information Generation for Improving and Interpreting Multi-Layered Neural Network2018

    • Author(s)
      Ryotaro Kamimura and Haruhiko Takeuchi
    • Organizer
      6th International Conference on Smart Computing and Artificial Intelligence (SCAI 2018)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00339
  • [Presentation] Local Selective Learning for Interpreting Multi-Layered Neural Networks2018

    • Author(s)
      Ryotaro Kamimura, Ryozo Kitajima and Hiroyuki Sakai
    • Organizer
      Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00339
  • [Presentation] Information-Theoretic Self-compression of Multi-layered Neural Networks2018

    • Author(s)
      Ryotaro Kamimura
    • Organizer
      International Conference on Theory and Practice of Natural Computing
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00339
  • [Presentation] Information Augmentation, Reduction and Compression for Interpreting Multi-layered Neural Networks2018

    • Author(s)
      Ryotaro Kamimura
    • Organizer
      Future of Information and Communication Conference
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00339
  • [Presentation] Excessive, Selective and Collective Information Processing to Improve and Interpret Multi-layered Neural Networks2018

    • Author(s)
      Ryotaro Kamimura and Haruhiko Takeuchi
    • Organizer
      Proceedings of SAI intelligent systems conference
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00339
  • [Presentation] Selective and cooperative potentiality maximization for improving interpretation and generalization2017

    • Author(s)
      Ryotaro Kamimura
    • Organizer
      International joint conference on neural networks
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00339
  • [Presentation] Potential layer-wise supervised learning for training multi-layered neural networks2017

    • Author(s)
      Ryotaro Kamimura
    • Organizer
      International joint conference on neural networks
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00339
  • [Presentation] Mutual information maximization for improving and interpreting multi-layered neural networks2017

    • Author(s)
      Ryotaro Kamimura
    • Organizer
      IEEE Symposium series on computational intelligence
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00339
  • [Presentation] Supervised semi-autoencoder learning for multi-layered neural networks2017

    • Author(s)
      Ryotaro Kamimura, Haruhiko Takeuchi
    • Organizer
      IFSA-SCIS
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00339
  • [Presentation] Repeated potentiality assimilation: simplifying learning procedures by positive, independent and indirect operation for improving generalization and interpretation2016

    • Author(s)
      Ryotaro Kamimura
    • Organizer
      International Joint Conference on Neural Networks
    • Place of Presentation
      Vancouber
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00339
  • [Presentation] Simple and Stable Internal Representation by Potential Mutual Information Maximization. In International Conference on Engineering Applications of Neural Networks2016

    • Author(s)
      Ryotaro Kamimura
    • Organizer
      European conference on engineering applications of neural networks
    • Place of Presentation
      Aberdeen
    • Year and Date
      2016-09-02
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00339
  • [Presentation] Solving the Vanishing Information Problem with Repeated Potential Mutual Information Maximization. In International Conference on Neural Information Processing2016

    • Author(s)
      Ryotaro Kamimura
    • Organizer
      International Conference on Neural Information Processing
    • Place of Presentation
      Kyoto
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00339
  • [Presentation] An Iformation-Theoretic Approach to FeaatureExtraction in Competitive Learning2008

    • Author(s)
      Ryotaro Kamimura, Tadanari Taniguchi and Ryozo Kitajima
    • Organizer
      Artificial Intelligence and Applications
    • Place of Presentation
      Innsbruck
    • Year and Date
      2008-02-10
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Presentation] Supervised Competitive Learning for Explicit Internal Representations2008

    • Author(s)
      Ryotaro Kamimura
    • Organizer
      IEEE SMC International Conferenceon Distributed Human-Machine Systems
    • Place of Presentation
      Athens
    • Year and Date
      2008-03-10
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Presentation] Enhanced visualization by combining SOM and mixture models2008

    • Author(s)
      上村龍太郎
    • Organizer
      International conference on neural information processing
    • Place of Presentation
      ニュージーランド
    • Year and Date
      2008-11-27
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Presentation] Free Energy-based Competitive Learning for Self-Organizing Maps2008

    • Author(s)
      Ryotaro Kamimura
    • Organizer
      Artificial Intelligence and Applications
    • Place of Presentation
      Innsbruck
    • Year and Date
      2008-02-10
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Presentation] Feature detection by structural enhanced information2008

    • Author(s)
      R. Kamimura
    • Organizer
      in Proceedings of the international conference on neural information processing (ICONIP2008)
    • Place of Presentation
      Auckland
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Presentation] Feature detection by structural enhanced information2008

    • Author(s)
      上村龍太郎
    • Organizer
      International conference on neural information processing
    • Place of Presentation
      ニュージーランド
    • Year and Date
      2008-11-25
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Presentation] Enhanced visualization by combining som and mixture models2008

    • Author(s)
      R. Kamimura
    • Organizer
      in Proceedings of the international conference on neural information processing (ICONIP2008)
    • Place of Presentation
      Auckland
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Presentation] Collective activations to generate self-organizing maps2008

    • Author(s)
      上村龍太郎
    • Organizer
      International conference on neural information processing
    • Place of Presentation
      ニュージーランド
    • Year and Date
      2008-11-27
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Presentation] Free Energy-Based Competitive Learning for Mutual Information Maximzation2008

    • Author(s)
      Ryotaro Kamimura
    • Organizer
      IEEE SMC International Conferenceon Distributed Human-Machine Systems
    • Place of Presentation
      Athens
    • Year and Date
      2008-03-10
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Presentation] Free Energy-based Competitive Leaing and Minimmh formation Production Learning2008

    • Author(s)
      Ryotaro Kamimura
    • Organizer
      Artificial Intelligence and Applications
    • Place of Presentation
      Innsbruck
    • Year and Date
      2008-02-10
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Presentation] Partially enhanced competitive learning2008

    • Author(s)
      R. Kamimura
    • Organizer
      in Proceedings of the international conference on neural information processing (ICONIP2008)
    • Place of Presentation
      Auckland
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Presentation] Partially enhanced competitive learning2008

    • Author(s)
      上村龍太郎
    • Organizer
      International conference on neural information processing
    • Place of Presentation
      ニュージーランド
    • Year and Date
      2008-11-25
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Presentation] Collective activations to generate self-organizing maps2008

    • Author(s)
      R. Kamimura
    • Organizer
      in Proceedings of the international conference on neural information processing (ICONIP2008)
    • Place of Presentation
      Auckland
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Presentation] Information loss to extractdistinctive features in competitive learning2007

    • Author(s)
      Ryotaro Kamimura
    • Organizer
      IEEE Conference on Systems, Man, and Cybernetics
    • Place of Presentation
      Montreal
    • Year and Date
      2007-10-10
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Presentation] Information-Theoretic Competitive Learning with Supposed Maxlmum Information:Combining Hard and Soft Competition in Infbrmation-Theoretic Learning2007

    • Author(s)
      Ryotaro Kamimura
    • Organizer
      International Conferenceon Foundations of Computational Intelligence
    • Place of Presentation
      Honolulu
    • Year and Date
      2007-04-01
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Presentation] Forced Inbrmation and Infbrmation Lossbra Student Survey Analysis2007

    • Author(s)
      Ryotaro Kamimura
    • Organizer
      International Conferenceon Foundations of Computational Intelligence
    • Place of Presentation
      Honolulu
    • Year and Date
      2007-04-01
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Presentation] Information-Theoretic Variable Selection in Neural Networks2007

    • Author(s)
      Ryotaro Kamimura
    • Organizer
      International Conferenceon Foundations of Computational Intelligence
    • Place of Presentation
      Honolulu
    • Year and Date
      2007-04-01
    • Data Source
      KAKENHI-PROJECT-18500179
  • [Presentation] Partially activated networks by controlling information2007

    • Author(s)
      Ryotaro Kamimura
    • Organizer
      International conference on artificial neural networks
    • Place of Presentation
      Porta
    • Year and Date
      2007-09-10
    • Data Source
      KAKENHI-PROJECT-18500179
  • 1.  TAKEUCHI Haruhiko (00357401)
    # of Collaborated Projects: 3 results
    # of Collaborated Products: 0 results
  • 2.  UCHIDA Osamu (50329306)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 2 results
  • 3.  KAMIMURA Taeko (30205926)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 4.  NAKNISHI Shohachiro (30056254)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results

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