Kamimura Ryotaro 上村龍太郎

… Alternative Names

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

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

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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

Kamimura Ryotaro 上村 龍太郎

KAMIMURA Ryotaro 上村 龍太郎

Research Projects

Research Products

Co-Researchers

Generalized competitive learning for improving and interpreting neural networksPrincipal Investigator

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Information-theoretic self-organizing maps and its applicationPrincipal Investigator

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Information Enhancement for Interpreting Internal Representation in Neural NetworksPrincipal Investigator

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Information-Theoretic Competitive Learning and its Application to Human Information ProcessingPrincipal Investigator

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Realizing competitive learning by information maximization and its application to language acquisitionPrincipal Investigator

Principal Investigator

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

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[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

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[Book] 社会知能システム入門2006

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[Journal Article] Sparse semi-autoencoders to solve the vanishing information problem in multi-layered neural networks2019

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Journal Title

DOI

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[Journal Article] Supposed Maximum Mutual Information for Improving Generalization and Interpretation of Multi-Layered Neural Networks2019

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DOI

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[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

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[Journal Article] Neural self-compressor: Collective interpretation by compressing multi-layered neural networks into non-layered networks2019

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[Journal Article] Collective mutual information maximization to unify passive and positive approaches for improving interpretation and generalization2017

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[Journal Article] Identifying Important Tweets by Considering the Potentiality of Neurons2017

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Journal Title

NAID

Data Source

[Journal Article] Potential information maximization: Potentiality-driven information maximization and its application to Tweets classification and interpretation2016

Author(s)

Kamimura Ryotaro 上村龍太郎

KAMIMURA Ryotaro 上村龍太郎