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Watanabe Sumio  渡邊 澄夫

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WATANABE SUMIO  渡邊 澄夫

WATANABE Sumio  渡邊 澄夫

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Researcher Number 80273118
Other IDs
External Links
Affiliation (based on the past Project Information) *help 2021 – 2023: 東京工業大学, 情報理工学院, 教授
2016 – 2019: 東京工業大学, 情報理工学院, 教授
2015: 東京工業大学, 総合理工学研究科, 教授
2012 – 2015: 東京工業大学, 総合理工学研究科(研究院), 教授
2011: 東京工業大学, 総合理工学研究科, 教授
2001 – 2009: 東京工業大学, 精密工学研究所, 教授
1997 – 2000: 東京工業大学, 精密工学研究所, 助教授
Review Section/Research Field
Principal Investigator
Intelligent informatics / Basic Section 61030:Intelligent informatics-related / Soft computing / Sensitivity informatics/Soft computing / Intelligent informatics / Science and Engineering
Except Principal Investigator
Complex systems
Keywords
Principal Investigator
代数幾何 / 汎化誤差 / 学習理論 / 自由エネルギー / 代数解析 / 実対数閾値 / Learning Theory / 確率的複雑さ / WAIC / 情報量規準 … More / 周辺尤度 / WBIC / ゼータ関数 / 双有理不変量 / 特異点 / 特異モデル / Singularities / ニューラルネットワーク / 特異点解消 / 神経回路網 / 調整された情報量規準 / 調整された交差検証 / 特異学習理論 / 汎関数分散 / 非負値行列分解 / 情報量規準WAIC / 交差損失 / 汎化損失 / クロスバリデーション / 漸近挙動 / 交差検証 / Information System / Algebraic Analysis / Learning Machine / Learning System / Zeta function / Statistical Learning Theory / Algebraic Geometry / 特定不能 / ブローアップ / カルバック情報量 / 文脈自由文法 / 縮小ランク回帰 / ゼータ函数 / 変分ベイズ法 / ベイズ法 / 情報システム / 学習モデル / 学習システム / 統計的学習理論 / stochastic complexity / generalization error / algebraic analysis / algebraic geometry / 予測誤差 / 佐藤b関数 / Hironaka's resolution / b-function / Statistical Estimation / Function approximation / Neural networks / Multi-Resolution Analysis / 汎関数測度 / 可解モデル / ウェーブレット / b関数 / 統計的推測 / 関数近似 / 多重度解析 / 逆温度 / 漸近解析 / 特異揺らぎ / ベイズ自由エネルギー / 構造学習理論 / 双有理幾何学 / 厳密な数理物理 / 特異点解消定理 / 状態方程式 / 対数正規値 / 佐藤幹夫のb関数 / 広中の定理 / 学習の状態方程式 / 特異ゆらぎ / 実対数閾植 / 確率過程論 / 超関数論 / 特異点論 / 情報物理学 … More
Except Principal Investigator
行列分解 / 交差検証法 / 情報量基準 / 統計力学 / 特異モデル / 平均場近似 / レプリカ法 / モデル選択 / 潜在変数モデリング / 圧縮センシング Less
  • Research Projects

    (8 results)
  • Research Products

    (137 results)
  • Co-Researchers

    (7 People)
  •  Information Criterion WBIC and its improvementPrincipal Investigator

    • Principal Investigator
      Watanabe Sumio
    • Project Period (FY)
      2021 – 2023
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 61030:Intelligent informatics-related
    • Research Institution
      Tokyo Institute of Technology
  •  Difference between marginal likelihood and generalization error as statistical model evaluation based on algebraic geometry and structure learning theoryPrincipal Investigator

    • Principal Investigator
      WATANABE SUMIO
    • Project Period (FY)
      2015 – 2019
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Soft computing
    • Research Institution
      Tokyo Institute of Technology
  •  Statistical mechanics approach to massive sparse modeling

    • Principal Investigator
      KABASHIMA Yoshiyuki
    • Project Period (FY)
      2013 – 2017
    • Research Category
      Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
    • Review Section
      Complex systems
    • Research Institution
      Tokyo Institute of Technology
  •  Structure Learning Theory and Birational GeometryPrincipal Investigator

    • Principal Investigator
      WATANABE SUMIO
    • Project Period (FY)
      2011 – 2014
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Intelligent informatics
    • Research Institution
      Tokyo Institute of Technology
  •  Establishment of Information Physics based on algebraic geometryPrincipal Investigator

    • Principal Investigator
      WATANABE Sumio
    • Project Period (FY)
      2006 – 2009
    • Research Category
      Grant-in-Aid for Scientific Research on Priority Areas
    • Review Section
      Science and Engineering
    • Research Institution
      Tokyo Institute of Technology
  •  Establishment of Algebraic Geometrical Methods in Statistical Learning TheoryPrincipal Investigator

    • Principal Investigator
      WATANABE Sumio
    • Project Period (FY)
      2003 – 2006
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Sensitivity informatics/Soft computing
    • Research Institution
      Tokyo Institute of Technology
  •  Mathematical foundation of Singular Learning Machines based on Algebraic Geometry and AnalysisPrincipal Investigator

    • Principal Investigator
      WATANABE Sumio
    • Project Period (FY)
      2000 – 2002
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Intelligent informatics
    • Research Institution
      Tokyo Institute of Technology
  •  Sovable Models of Finite Multi-resolution analysisPrincipal Investigator

    • Principal Investigator
      WATANABE Sumio
    • Project Period (FY)
      1997 – 1999
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Intelligent informatics
    • Research Institution
      Tokyo Institute of Technology

All 2024 2023 2022 2021 2020 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 Other

All Journal Article Presentation Book

  • [Book] Mathematical theory of Bayesian statistics2018

    • Author(s)
      Sumio Watanabe
    • Total Pages
      300
    • Publisher
      CRC Press
    • ISBN
      9781482238068
    • Data Source
      KAKENHI-PROJECT-15K00331
  • [Book] ランダム行列の数理と科学2014

    • Author(s)
      渡邊澄夫, 永尾太郎, 樺島祥介, 田中利幸, 中島伸一
    • Total Pages
      170
    • Publisher
      森北出版
    • Data Source
      KAKENHI-PROJECT-23500172
  • [Book] ベイズ統計の理論と方法2012

    • Author(s)
      渡邊澄夫
    • Total Pages
      200
    • Publisher
      コロナ社
    • Data Source
      KAKENHI-PROJECT-23500172
  • [Book] 特異モデルの学習理論(数理科学事典)2010

    • Author(s)
      渡邊澄夫
    • Publisher
      丸善
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Book] Algebraic geometry and statistical learning theory2009

    • Author(s)
      渡邊澄夫
    • Publisher
      Cambridge University Press
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Book] Algebraic Geometry and Statistical Learning Theory2009

    • Author(s)
      Watanabe
    • Publisher
      Cambridge University Press
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Book] Quantum Bio-Informatics2008

    • Author(s)
      Sumio Watanabe
    • Total Pages
      455
    • Publisher
      World Scientific
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Book] lgebraic Geometrical Method in Singular Statistical Estimation, in Quantum Bio-Informatics2008

    • Author(s)
      S. Watanabe
    • Publisher
      World Scientific(Singapole)
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Book] Quantum Bio-Informatics2008

    • Author(s)
      Sumio Watanabe
    • Total Pages
      452
    • Publisher
      Algebraic geometrical method in singular statistical estimation
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Book] 学習システムの理論と実現2005

    • Author(s)
      渡邊澄夫, 萩原克幸, 赤穂昭太郎, 本村陽一, 福水健次, 岡田真人, 青柳美輝
    • Total Pages
      195
    • Publisher
      森北出版
    • Data Source
      KAKENHI-PROJECT-15500130
  • [Journal Article] Free Energy of Bayesian Convolutional Neural Network with Skip Connection2024

    • Author(s)
      S.Nagayasu, S.Watanabe
    • Journal Title

      Proceedings of the 15th Asian Conference on Machine Learning

      Volume: 222 Pages: 927-942

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21K12025
  • [Journal Article] Mathematical Theory of Bayesian Statistics for Unknown Information Source2023

    • Author(s)
      Sumio Watanabe
    • Journal Title

      Philosophical Transactions of the Royal Society A

      Volume: - Issue: 2247

    • DOI

      10.1098/rsta.2022.0151

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21K12025
  • [Journal Article] Mathematical Theory of Bayesian Statistics where all models are wrong2022

    • Author(s)
      Sumio Watanabe
    • Journal Title

      Handbook of Statistics, Elsevior

      Volume: 47 Pages: 209-238

    • DOI

      10.1016/bs.host.2022.06.001

    • ISBN
      9780323952682
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21K12025
  • [Journal Article] Recent Advances in Algebraic Geometry and Bayesian Statistics2022

    • Author(s)
      Sumio Watanabe
    • Journal Title

      Information Geometry

      Volume: - Issue: S1 Pages: 187-209

    • DOI

      10.1007/s41884-022-00083-9

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21K12025
  • [Journal Article] Information criteria and cross validation for Bayesian inference in regular and singular cases2021

    • Author(s)
      Sumio Watanabe
    • Journal Title

      Japanese Journal of Statistics and Data Science

      Volume: 4 Issue: 1 Pages: 1-19

    • DOI

      10.1007/s41237-021-00133-z

    • NAID

      210000185598

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21K12025
  • [Journal Article] Asymptotic Bayesian Generalization Error in Latent Dirichlet Allocation and Stochastic Matrix Factorization.2020

    • Author(s)
      Naoki Hayashi, Sumio Watanabe.
    • Journal Title

      SN Computer Science

      Volume: 1 Issue: 2 Pages: 1-22

    • DOI

      10.1007/s42979-020-0071-3

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-15K00331
  • [Journal Article] Higher Order Equivalence of Bayes Cross Validation and WAIC2018

    • Author(s)
      Sumio Watanabe
    • Journal Title

      Springer Proceedings in Mathematics and Statistics

      Volume: 25210.1007/978-3-319-97798-0 Pages: 47-73

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-15K00331
  • [Journal Article] Tighter upper bound of real log canonical threshold of non-negative matrix factorization and its application to Bayesian inference2017

    • Author(s)
      Hayashi Naoki、Watanabe Sumio
    • Journal Title

      IEEE Symposium Series on Computational Intelligence

      Volume: Vol.1 Pages: 1-8

    • DOI

      10.1109/ssci.2017.8280811

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-15K00331
  • [Journal Article] Phase Transition Structure of Variational Bayesian Nonnegative Matrix Factorization2017

    • Author(s)
      Kohjima Masahiro、Watanabe Sumio
    • Journal Title

      Proc. of ICANN

      Volume: Vol.2 Pages: 146-154

    • DOI

      10.1007/978-3-319-68612-7_17

    • ISBN
      9783319686110, 9783319686127
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-15K00331
  • [Journal Article] Difference between Bayes Cross Validation and WAIC for Conditional Independent Samples2017

    • Author(s)
      Sumio Watanabe
    • Journal Title

      Proc. of 10th WITMSE2017

      Volume: Vol.1 Pages: 38-41

    • Data Source
      KAKENHI-PROJECT-15K00331
  • [Journal Article] Upper bound of Bayesian generalization error in non-negative matrix factorization2017

    • Author(s)
      Hayashi Naoki、Watanabe Sumio
    • Journal Title

      Neurocomputing

      Volume: 266 Pages: 21-28

    • DOI

      10.1016/j.neucom.2017.04.068

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-15K00331
  • [Journal Article] Interpretation Method of Nonlinear Multilayer Principal Component Analysis by Using Sparsity and Hierarchical Clustering2016

    • Author(s)
      Natsuki Koda, Sumio Watanabe
    • Journal Title

      Proceedings of 15th IEEE International Conference on Machine Learning and Applications (ICMLA)

      Volume: なし Pages: 1063-1066

    • DOI

      10.1109/icmla.2016.0193

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PLANNED-25120013
  • [Journal Article] Cavity-based robustness analysis of interdependent networks : Influences of intranetwork and internetwork degree-degree correlations2014

    • Author(s)
      S.Watanabe and Y.Kabashima
    • Journal Title

      Phys. Rev

      Volume: E 89 Issue: 1

    • DOI

      10.1103/physreve.89.012808

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22300003, KAKENHI-PLANNED-25120013
  • [Journal Article] A Geometric Evaluation of Self-Organizing Map and Application to City Data Analysis2013

    • Author(s)
      Shigehiro Ohara, Keisuke Yamazaki, Sumio Watanabe
    • Journal Title

      Lecture Notes in Artificial Intelligence

      Volume: 8271 Pages: 165-174

    • Peer Reviewed
    • Data Source
      KAKENHI-PLANNED-25120013
  • [Journal Article] A widely applicable Bayesian information criterion2013

    • Author(s)
      渡邊澄夫
    • Journal Title

      Journal of Machine Learning Research

      Volume: 14 Pages: 867-897

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23500172
  • [Journal Article] Two birational invariants in statistical learning theory2012

    • Author(s)
      渡邊澄夫
    • Journal Title

      IRMA Lectures in Mathematics and Theoretical Physics

      Volume: 20 Pages: 249-268

    • Data Source
      KAKENHI-PROJECT-23500172
  • [Journal Article] Statistical Learning Theory of Quasi-Regular Cases2012

    • Author(s)
      山田耕史 渡邊澄夫
    • Journal Title

      IEICE Transactions

      Volume: E95A Pages: 2479-2487

    • NAID

      10031161384

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23500172
  • [Journal Article] Two Design Methods of Hyperparameters in Variational Bayes Learning for Bernoulli Mixtures2011

    • Author(s)
      Daisuke Kaji, Sumio Watanabe
    • Journal Title

      Neurocomputing

      Volume: 74 Pages: 20022007-20022007

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23500172
  • [Journal Article] Asymptotic Analysis of Bayesian Generalization Error with Newton Diagram2010

    • Author(s)
      K. Yamazaki, M. Aoyagi, S. Watanabe
    • Journal Title

      Neural Networks Vol.23,No.1

      Pages: 35-43

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Journal Article] Equations of states in statistical learning for an unrealizable and regular case2010

    • Author(s)
      S. Watanabe
    • Journal Title

      IEICE Transactions Vol.E93-A,No.3

      Pages: 617-626

    • NAID

      10026863556

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Journal Article] Asymptotic Analysis of Bayesian Generalization Error with Newton Diagram2010

    • Author(s)
      K Yamazaki, M Aoyagi, S Watanabe
    • Journal Title

      Neural Networks Vol.23, No.1

      Pages: 35-43

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Journal Article] Equations of states in statistical learning for an unrealizable and regular case2010

    • Author(s)
      Sumio Watanabe
    • Journal Title

      IEICE Transactions Vol.E93-A, No.3

      Pages: 617-626

    • NAID

      10026863556

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Journal Article] Equations of states in singular statistical estimation2010

    • Author(s)
      S. Watanabe
    • Journal Title

      Neural Networks Vol.23,No.1

      Pages: 20-34

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Journal Article] Equations of states in singular statistical estimation2010

    • Author(s)
      Sumio Watanabe
    • Journal Title

      Neural Networks Vol.23, No.1

      Pages: 20-34

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Journal Article] A limit theorem in singular regression problem2010

    • Author(s)
      Sumio Watanabe
    • Journal Title

      Advanced Studies in Pure Mathematics Vol.57

      Pages: 473-492

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Journal Article] Upper bound for variational free energy of Bayesian networks2009

    • Author(s)
      K. Watanabe, M. Shiga, S. Watanabe
    • Journal Title

      Machine Learning vol.75,no.2

      Pages: 199-215

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Journal Article] Asymptotic Behavior of Exchange Ratio in Exchange Monte Carlo Method2008

    • Author(s)
      Kenji Nagata, Sumio Watanabe
    • Journal Title

      Neural Networks 21

      Pages: 980-988

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Journal Article] Exchange Monte Carlo Sampling From Bayesian Posterior for Singular Learning Machines2008

    • Author(s)
      K. Nagata, S. Watanabe
    • Journal Title

      IEEE Transactions on Neural Networks Vol.19,No.7

      Pages: 1253-1266

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Journal Article] Exchange Monte Carlo Sampling From Bayesian Posterior for Singular Learning Machines2008

    • Author(s)
      Kenji Nagata, Sumio Watanabe
    • Journal Title

      IEEE Transactions on Neural Networks 19

      Pages: 1253-1266

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Journal Article] Asymptotic Behavior of Exchange Ratio in Exchange Monte Carlo Method2008

    • Author(s)
      K. Nagata, S. Watanabe
    • Journal Title

      Neural Networks Vol.21,No.7

      Pages: 980-988

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Journal Article] Theory and Experiments of Exchange Ratio for Exchange Monte Carlo Method2008

    • Author(s)
      K. Nagata, S. Watanabe
    • Journal Title

      Neural Information Processing - Letters and Reviews Vol.12,No.1-3

      Pages: 21-30

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Journal Article] Asymptotic Behavior of Exchange Ratio in Exchange Monte Carlo Method2008

    • Author(s)
      Kenji Nagata, Sumio Watanabe
    • Journal Title

      Neural Networks Vol. 21, No. 7

      Pages: 980-988

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Journal Article] Estimating the Data Region Using Minimum and Maximum Values2007

    • Author(s)
      K. Watanabe, S. Watanabe
    • Journal Title

      Interdisciplinary Information Sciences 13

      Pages: 151-161

    • NAID

      110006463579

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Journal Article] Stochastic complexity for mixture of exponential families in generalized variational Bayes2007

    • Author(s)
      K. Watanabe, S. Watanabe
    • Journal Title

      Theoretical Computer Science Vol.387

      Pages: 4-17

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Journal Article] Stochastic complexities of general mixture models in variation al Bayesian learning2007

    • Author(s)
      K. Watanabe, S. Watanabe
    • Journal Title

      Neural Networks 20

      Pages: 210-217

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Journal Article] Variational Bayes Solution of Linear Neural Networks and its Generalization Performance2007

    • Author(s)
      S. Nakajima, S.Watanabe
    • Journal Title

      Neural Computation vol.19, no.4

      Pages: 1112-1153

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Journal Article] Variational Bayes Solution of Linear Neural Networks and its Generalization Performance2007

    • Author(s)
      S. Nakajima, S. Watanabe
    • Journal Title

      Neural Computation vol.19,no.4

      Pages: 1112-1153

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Journal Article] Variational Bayes Solution of Linear Neural Networks and its Generalization Performance2007

    • Author(s)
      S. Nakajima, S. Watanabe
    • Journal Title

      Neural Computation 19

      Pages: 1112-1153

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Journal Article] Estimating the Data Region Using Minimum and Maximum Values2007

    • Author(s)
      K. Watanabe, S. Watanabe
    • Journal Title

      Interdisciplinary Information Sciences Vol.13,No.2

      Pages: 151-161

    • NAID

      110006463579

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Journal Article] Generalization Performance of Subspace Bayes Approach in Linear Neural Networks2006

    • Author(s)
      S Nakajima, S Watanabe
    • Journal Title

      IEICE Transactions Vol.E89-D, no.3

      Pages: 1128-1138

    • NAID

      110004719390

    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-15500130
  • [Journal Article] Variational bayesian stochastic complexity of mixture models2006

    • Author(s)
      K Watanabe, S Watanabe
    • Journal Title

      Proc. of Advances in Neural Information Processing Systems Vol.18

      Pages: 1465-1472

    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-15500130
  • [Journal Article] Stochastic complexities of gaussian mixtures in variational bayesian approximation2006

    • Author(s)
      K Watanabe, S Watanabe
    • Journal Title

      Journal of Machine Learning Research Vol. 7

      Pages: 625-644

    • Data Source
      KAKENHI-PROJECT-15500130
  • [Journal Article] Stochastic complexities of gaussian mixtures in variational bayesian approximation2006

    • Author(s)
      K. Watanabe, S. Watanabe
    • Journal Title

      Journal of Machine Learning Research Vol.7

      Pages: 625-644

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Journal Article] Stocahstic complexity of complete bipartite Boltzmann machine in mean field approximation2006

    • Author(s)
      Yu Nichiyama., S.Watanabe
    • Journal Title

      IEICE Transactions Vol.89-A

      Pages: 671-678

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-15500130
  • [Journal Article] Stochastic complexities of gaussian mixtures in variational bayesian approximation2006

    • Author(s)
      K Watanabe, S Watanabe
    • Journal Title

      Journal of Machine Learning Research Vol.7

      Pages: 625-644

    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-15500130
  • [Journal Article] Generalization Performance of Subspace Bayes Approach in Linear Neural Networks2006

    • Author(s)
      S Nakajima, S Watanabe
    • Journal Title

      IEICE Transactions Vol. E89-D, no. 3

      Pages: 1128-1138

    • NAID

      110004719390

    • Data Source
      KAKENHI-PROJECT-15500130
  • [Journal Article] Variational bayesian stochastic complexity of mixture models2006

    • Author(s)
      K Watanabe, S Watanabe
    • Journal Title

      Proc. of Advances in Neural Information Processing Systems Vol. 18

      Pages: 1465-1472

    • Data Source
      KAKENHI-PROJECT-15500130
  • [Journal Article] Generalization Performance of Subspace Bayes Approach in Linear Neural Networks2006

    • Author(s)
      S. Nakajima, S. Watanabe
    • Journal Title

      IEICE Transactions Vol.E89-D,no.3

      Pages: 1128-1138

    • NAID

      110004719390

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Journal Article] Variational bayesian stochastic complexity of mixture models2006

    • Author(s)
      K Watanabe, S Watanabe
    • Journal Title

      Proc. of Advances in Neural Information Processing Systems vol.18

      Pages: 1465-1472

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-15500130
  • [Journal Article] Variational bayesian stochastic complexity of mixture models2006

    • Author(s)
      K Watanabe, S Watanabe
    • Journal Title

      Proc. of Advances in Neural Information Processing Systems Vol. 18

      Pages: 1465-1472

    • Data Source
      KAKENHI-PROJECT-18079007
  • [Journal Article] Generalization Performance of Subspace Bayes Approach in Linear Neural Networks2006

    • Author(s)
      S Nakajima, S Watanabe
    • Journal Title

      IEICE Transactions Vol. E89-D, no. 3

      Pages: 1128-1138

    • NAID

      110004719390

    • Data Source
      KAKENHI-PROJECT-18079007
  • [Journal Article] Stochastic complexity of hidden markov model in Variational Bayes learning.2006

    • Author(s)
      Tikara Hosino, Kazuho Watanabe, Sumio Watanabe
    • Journal Title

      IEICE Transactions Vol.J89-D-II

      Pages: 1279-1287

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-15500130
  • [Journal Article] Generalization Performance of Subspace Bayes Approach in Linear Neural Networks2006

    • Author(s)
      S Nakajima, S Watanabe
    • Journal Title

      IEICE Transactions vol.89-E-D

      Pages: 1128-1138

    • NAID

      110004719390

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-15500130
  • [Journal Article] locally Bayes learning,2006

    • Author(s)
      Shingo Tanakamatsu, Shinichi Nakajima, Sumio Watanabe
    • Journal Title

      IEICE Transactions Vol.J89-D-II

      Pages: 2260-2268

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-15500130
  • [Journal Article] Stochastic complexities of gaussian mixtures in variational bayesian approximation2006

    • Author(s)
      K Watanabe, S Watanabe
    • Journal Title

      Journal of Machine Learning Research Vol. 7

      Pages: 625-644

    • Data Source
      KAKENHI-PROJECT-18079007
  • [Journal Article] Algebraic geometry and stochastic complexity of hidden Markov models2005

    • Author(s)
      K.Yamazaki, S.Watanabe
    • Journal Title

      Neurocomputing 69

      Pages: 62-84

    • Data Source
      KAKENHI-PROJECT-15500130
  • [Journal Article] Algebraic geometry of singular learning machines and symmetry of generalization and training errors2005

    • Author(s)
      Sumio Watanabe
    • Journal Title

      Neurocomputing 67

      Pages: 198-213

    • Data Source
      KAKENHI-PROJECT-15500130
  • [Journal Article] Stochastic complexities of reduced rank regression in Bayesian estimation2005

    • Author(s)
      M.Aoyagi, S.Watanabe
    • Journal Title

      International Journal of Neural Networks 18・7

      Pages: 924-933

    • Data Source
      KAKENHI-PROJECT-15500130
  • [Presentation] Singular Learning Theory, Deep Learning, and AI Alignment2024

    • Author(s)
      Sumio Watanabe
    • Organizer
      Tokyo Deep Learning 2024
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12025
  • [Presentation] Bias and Variance of Bayes Cross Validation in Singular Learning Theory2023

    • Author(s)
      Sumio Watanabe
    • Organizer
      Bayesian Statistics and Statistical Learning
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12025
  • [Presentation] Singularity Theory in Statistical Science2022

    • Author(s)
      Sumio Watanabe
    • Organizer
      MSJ-SI: Deepening and Evolution of Applied Singularity Theory
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12025
  • [Presentation] Asymptotic Behavior of Bayesian Generalization Error in Multinomial Mixtures2022

    • Author(s)
      Takumi Watanabe, Sumio Watanabe
    • Organizer
      arxiv.org
    • Data Source
      KAKENHI-PROJECT-21K12025
  • [Presentation] Cross Validation and WAIC in layered neural networks2018

    • Author(s)
      Sumio Watanabe
    • Organizer
      Deep Learning: Theory, Algorithms, and Applications
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00331
  • [Presentation] Difference between Bayes Cross Validation and WAIC for Conditional Independent Samples2017

    • Author(s)
      Sumio Watanabe
    • Organizer
      The Tenth Workshop on Information Theoretic Methods in Science and Engineering
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-25120013
  • [Presentation] Bayesian sparse regression and information criteria for singular models. International Workshop2017

    • Author(s)
      渡邊澄夫
    • Organizer
      Algebraic and Geometric Methods in Statistics
    • Place of Presentation
      統計数理研究所
    • Year and Date
      2017-03-07
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00331
  • [Presentation] Phase Transition Structure of Variational Bayesian Nonnegative Matrix Factorization2017

    • Author(s)
      Kunihiro Kohjima, Sumio Watanabe.
    • Organizer
      26th International Conference on Artificial Neural Networks
    • Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-25120013
  • [Presentation] 階層化クラスタリングを用いた深層アンサンブル学習の最適化法2016

    • Author(s)
      香田夏輝,渡邊澄夫
    • Organizer
      第19回情報論的学習理論ワークショップ
    • Place of Presentation
      京都大学
    • Year and Date
      2016-11-16
    • Data Source
      KAKENHI-PLANNED-25120013
  • [Presentation] Cross Validation and WAIC in Statistical Model Evaluation2016

    • Author(s)
      渡邊澄夫
    • Organizer
      Symposium ‐ What is a good model? Evidential statistics, information criterion and model evaluation.
    • Place of Presentation
      統計数理研究所(立川市)
    • Year and Date
      2016-01-12
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-25120013
  • [Presentation] Higher Order Analysis of Bayesian Cross Validation in Regular Asymptotic Theory2016

    • Author(s)
      渡邊澄夫
    • Organizer
      Information Geometry and its Applications IV
    • Place of Presentation
      Liblice Castle Hote, Czech Republic
    • Year and Date
      2016-06-12
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00331
  • [Presentation] Cross Validation and WAIC in Statistical Model Evaluation2016

    • Author(s)
      渡邊澄夫
    • Organizer
      Symposium ‐ What is a good model?
    • Place of Presentation
      統計数理研究所
    • Year and Date
      2016-01-12
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K00331
  • [Presentation] ハミルトニアンモンテカルロ法を用いた神経回路網の学習と汎化誤差の推定について2016

    • Author(s)
      中村文士 渡邊澄夫
    • Organizer
      信学技報
    • Place of Presentation
      統計数理研究所
    • Year and Date
      2016-03-17
    • Data Source
      KAKENHI-PROJECT-15K00331
  • [Presentation] 潜在変数を持つモデルの評価について2016

    • Author(s)
      渡邊澄夫
    • Organizer
      データ科学シンポジウム
    • Place of Presentation
      大阪大学
    • Year and Date
      2016-01-22
    • Invited
    • Data Source
      KAKENHI-PROJECT-15K00331
  • [Presentation] Interpretation Method of Nonlinear Multilayer Principal Component Analysis by Using Sparsity and Hierarchical Clustering2016

    • Author(s)
      Natsuki Koda, Sumio Watanabe
    • Organizer
      The 15th IEEE International Conference on Machine Learning and Applications (ICMLA)
    • Place of Presentation
      Anaheim, CA, USA
    • Year and Date
      2016-12-18
    • Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-25120013
  • [Presentation] 非ガウス可解モデルを用いたレプリカモンテカルロ法 による自由エネルギーの計算精度の評価2016

    • Author(s)
      須貝将士 渡邊澄夫
    • Organizer
      信学技報
    • Place of Presentation
      玉川大学
    • Year and Date
      2016-03-23
    • Data Source
      KAKENHI-PROJECT-15K00331
  • [Presentation] ベイズ推論2016

    • Author(s)
      渡邊澄夫
    • Organizer
      電子情報通信学会ソサイエティ大会
    • Place of Presentation
      北海道大学
    • Year and Date
      2016-09-20
    • Invited
    • Data Source
      KAKENHI-PROJECT-15K00331
  • [Presentation] 潜在変数を持つモデルの評価について2016

    • Author(s)
      渡邊澄夫
    • Organizer
      データ科学シンポジウム
    • Place of Presentation
      大阪大学
    • Year and Date
      2016-01-22
    • Invited
    • Data Source
      KAKENHI-PLANNED-25120013
  • [Presentation] スパース表現を用いた非線形多層主成分分析における 学習結果の分類法について2015

    • Author(s)
      香田夏輝 渡邊澄夫
    • Organizer
      情報論的学習理論と機械学習研究会
    • Place of Presentation
      つくば国際会議場
    • Year and Date
      2015-11-16
    • Data Source
      KAKENHI-PROJECT-15K00331
  • [Presentation] Discovery Phenomenon and Information Criteria2014

    • Author(s)
      Sumio Watanabe
    • Organizer
      The Seventh Workshop on Information Theoretic Methods in Science and Engineering
    • Place of Presentation
      Sheraton Waikiki Hotel, Honolulu, USA.
    • Year and Date
      2014-07-07
    • Invited
    • Data Source
      KAKENHI-PLANNED-25120013
  • [Presentation] Birational Invariants in Marginal Likelihood Computation2014

    • Author(s)
      Sumio Watanabe
    • Organizer
      2014 NIMS Thematic Program on Algebraic Statistics
    • Place of Presentation
      National Institute of Mathematical Sciences, Daejeon, South Korea.
    • Year and Date
      2014-06-15
    • Invited
    • Data Source
      KAKENHI-PLANNED-25120013
  • [Presentation] Model Selection for Non-Regular Statistical Models2013

    • Author(s)
      Sumio Watanabe
    • Organizer
      Joint Statistical Meeting
    • Place of Presentation
      Canada, Motreal
    • Invited
    • Data Source
      KAKENHI-PROJECT-23500172
  • [Presentation] WAIC and WBIC are Information Criteria for Singular Statistical Model Evaluation2013

    • Author(s)
      Sumio Watanabe
    • Organizer
      WITMSE 2013
    • Place of Presentation
      The University of Tokyo
    • Invited
    • Data Source
      KAKENHI-PROJECT-23500172
  • [Presentation] Information Criterion for Variational Bayes Learning in Regular and Singular Cases2012

    • Author(s)
      山田耕史 渡邊澄夫
    • Organizer
      6th International Conference on Soft Computing and Intelligent Systems
    • Place of Presentation
      Kobe Convention Center
    • Data Source
      KAKENHI-PROJECT-23500172
  • [Presentation] Algebraic geometry and model selection2011

    • Author(s)
      Sumio Watanabe
    • Organizer
      Workshop of American Institute of Mathematics(招待講演)
    • Place of Presentation
      アメリカ数学研究所
    • Data Source
      KAKENHI-PROJECT-23500172
  • [Presentation] Generalization Error by Langevin Equation in Singular Learning Machines2009

    • Author(s)
      T. Iwagaki, S. Watanabe
    • Organizer
      International Symposium on Nonlinear Theory and its Applications
    • Place of Presentation
      Sapporo, Japan
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] Optimal Hyperparameters for Generalized Learning and Knowledge Discovery in Variational Bayes2009

    • Author(s)
      D. Kaji, S. Watanabe
    • Organizer
      International Conference on Neural Information Processing
    • Place of Presentation
      Bangkok, Thailand
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] Two birational invariants in statistical learning theory2009

    • Author(s)
      Sumio Watanabe
    • Organizer
      JSPS Forum on Singularities
    • Place of Presentation
      IRMA, France
    • Year and Date
      2009-08-24
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] Phase Transition of Generalization Errors in Variational Bayes Learning2009

    • Author(s)
      S. Oyama, S. Watanabe
    • Organizer
      International Symposium on Nonlinear Theory and its Applications
    • Place of Presentation
      Sapporo, Japan
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] Determining the Number of the Components of Gaussian Mixture Models by Bayesian Hypothesis Testing2009

    • Author(s)
      K. Fujiwara, S. Watanabe
    • Organizer
      The 12th IASTED International Conference on Intelligent systems and control
    • Place of Presentation
      Cambridge, Massachusetts, USA
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] A Singular limit theorem in statistical learning theory2009

    • Author(s)
      S. Watanabe
    • Organizer
      Mathematical Quantum Field Theory and Renormalization Theory
    • Place of Presentation
      Kyushu Univ
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] Algebraic Geometry, Empirical Process, and Singular Model Evaluation2008

    • Author(s)
      S. Watanabe
    • Organizer
      Algebraic Methods in Systems Biology and Statistics
    • Place of Presentation
      Research Triangle Park, NC, USA
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] A foumula of equations of states in singular learning machines2008

    • Author(s)
      S. Watanabe
    • Organizer
      IEEE World Congress in Computational Intelligence
    • Place of Presentation
      Hong kong, China
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] What we can estimate about singularity from random samples2008

    • Author(s)
      S. Watanabe
    • Organizer
      Seasonal Institute of the mathematical society of Japan, Kyoto, Japan
    • Place of Presentation
      Kyoto, Japan
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] On the Minima of Bethe Free Energy in Gaussian Distributions2008

    • Author(s)
      Y. Nishiyama, S. Watanabe
    • Organizer
      Proceedings of International Conference on Artificial Intelligence and Softcomputing
    • Place of Presentation
      Palma de Mallorca, Spain
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] Generalization of Concave and Convex Decomposition in Kikuchi Free Energy2008

    • Author(s)
      Y. Nishiyama, S. Watanabe
    • Organizer
      International Conference on Artificial Neural Networks
    • Place of Presentation
      Czech Republic
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] Weighted Blowups of Kullback Information and Application to Multinomial Distributions2008

    • Author(s)
      T. Matsuda, S. Watanabe
    • Organizer
      Proceedings of International Symposium on Nonlinear Theory and Its Applications
    • Place of Presentation
      Budapest, Republic of Hungary
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] Design of Exchange Monte Carlo Method for Bayesian Learning in Normal Mixture Models2008

    • Author(s)
      K. Nagata, S. Watanabe
    • Organizer
      International Conference on Neural Information Processing of the Asia-Pacific Neural Network Assembly
    • Place of Presentation
      Auckland, New Zealand
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] What we can estimate about singularity from random samples2008

    • Author(s)
      Sumio Watanabe
    • Organizer
      Seasonal Institute of the mathematical society of Japan
    • Place of Presentation
      Kyoto, Japan
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] A formula of equations of states in singular learning machines2008

    • Author(s)
      Sumio Watanabe
    • Organizer
      IEEE World Congress in Computational Intelligence
    • Place of Presentation
      香港コンベンションセンター
    • Year and Date
      2008-06-06
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] Experimental Study of Ergodic Learning Curve in Hidden Markov Models2008

    • Author(s)
      M. Matsumoto, S. Watanabe
    • Organizer
      International Conference on Neural Information Processing of the Asia-Pacific Neural Network Assembly
    • Place of Presentation
      Auckland, New Zealand
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] Algebraic geometrical method in singular statistical estimation2008

    • Author(s)
      Sumio Watanabe
    • Organizer
      Albebraic Statistics
    • Place of Presentation
      Berkeley, USA
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] Algebraic geometrical method in singular statistical estimation2008

    • Author(s)
      S. Watanabe
    • Organizer
      Algebraic Statistics, Mathematical Sciences Research Institute, Univesity of California
    • Place of Presentation
      Berkeley, USA
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] Model Selection Method for AdaBoost Using Formal Information Criteria2008

    • Author(s)
      D. Kaji, S. Watanabe
    • Organizer
      International Conference on Neural Information Processing of the Asia- Pacific Neural Network Assembly
    • Place of Presentation
      Auckland, New Zealand
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] Analysis of Exchange Ratio for Exchange Monte Carlo Method2007

    • Author(s)
      K. Nagata, S. Watanabe
    • Organizer
      Proc. of FOCI2007
    • Place of Presentation
      Honolulu, Hawaii
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] Almost All Learning Machines are Singular2007

    • Author(s)
      S. Watanabe
    • Organizer
      Proc. of FOCI
    • Place of Presentation
      Honolulu, Hawaii
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] Algebraic Geometric Study of Exchange Monte Carlo Method2007

    • Author(s)
      K. Nagata, S. Watanabe
    • Organizer
      Proc. of ICANN
    • Place of Presentation
      Porto, Portugal
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] Asymptotic Bayesian Generalization Error When Training and Test Distributions Are Different2007

    • Author(s)
      K. Yamazaki, M. Kawanabe, S. Watanabe, M. Sugiyama, K. -R. Muller
    • Organizer
      Proc. of ICML
    • Place of Presentation
      Corvallis, Oregon, USA
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] On a Singular Point to Contribute to a Learning Coefficient and Weighted Resolution of Singularities2007

    • Author(s)
      T. Matsuda, S. Watanabe
    • Organizer
      Proc. of ICANN
    • Place of Presentation
      Porto, Portugal
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] Generalization Error of Automatic Relevance Determination2007

    • Author(s)
      S. Nakajima, S. Watanabe
    • Organizer
      Proc. of ICANN, 2007
    • Place of Presentation
      Porto, Portugal
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] Almost All Learning Machines are Singular2007

    • Author(s)
      S. Watanabe
    • Organizer
      Proc. of FOCI
    • Place of Presentation
      Hawaii, USA
    • Year and Date
      2007-04-04
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] Estimation of Poles of Zeta Function in Learning Theory Using Pade Approximation2007

    • Author(s)
      R. Iriguchi, S. Watanabe
    • Organizer
      Proc. of ICANN
    • Place of Presentation
      Porto, Portugal
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] Theoretical Analysis of Accuracy of Gaussian Belief Propagation2007

    • Author(s)
      Y. Nishiyama, S. Watanabe
    • Organizer
      Proc. of ICANN
    • Place of Presentation
      Porto, Portugal
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] Experimental Analysis of Exchange Ratio in Exchange Monte Carlo Method2007

    • Author(s)
      Kenji Nagata, S. Watanabe
    • Organizer
      Proc. of ICONIP2007
    • Place of Presentation
      Kitakyushu, Japan
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] Experimental Bayesian generalization error of nonregular models in covariate shift2007

    • Author(s)
      K. Yamazaki, S. Watanabe
    • Organizer
      Proc. of ICONIP2007
    • Place of Presentation
      Kitakyushu, Japan
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] Resolution of Singularities and Stochastic Complexity of Complete Bipartite Graph-Type Spin Model in Bayesian Estimation2007

    • Author(s)
      M. Aoyagi, S. Watanabe
    • Organizer
      Proc. of MDAI
    • Place of Presentation
      Kitakyushu, Japan
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] A Model Selection Method Based on Bound of Learning Coefficient2006

    • Author(s)
      K. Yamazaki, K. Nagata, S. Watanabe, Klaus-Robert Muller
    • Organizer
      Proc. of ICANN
    • Place of Presentation
      Athens, Greece
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] Analytic Solution of Hierarchical Variational Bayes in Linear Inverse Problem2006

    • Author(s)
      S. Nakajima, S. Watanabe
    • Organizer
      Proc. of International Conference on Artificial Neural Networks
    • Place of Presentation
      Athens, Greece
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] Upper bounds for variational stochastic complexities of Bayesian networks2006

    • Author(s)
      K. Watanabe, M. Shiga, S. Watanabe
    • Organizer
      Proc. of International Conference on Intelligent Data Engineering and Automated Learning
    • Place of Presentation
      Burgos, Spain
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] Free Energy of Stochastic Context Free Grammar on Variational Bayes2006

    • Author(s)
      T. Hosino, K. Watanabe, S. Watanabe
    • Organizer
      Proc. of ICONIP
    • Place of Presentation
      Honkong, China
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] Asymptotic Behavior of Stochastic Complexity of Complete Bipartite Graph-Type Boltzmann Machines2006

    • Author(s)
      Yu Nishiyama, S. Watanabe
    • Organizer
      Proc. of ICONIP
    • Place of Presentation
      Honkong, China
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] Localized Bayes Estimation for Non-identifiable Models2006

    • Author(s)
      S. Takamatsu, S. Nakajima, S. Watanabe
    • Organizer
      Proc. of International Conference on Neural Information Processing
    • Place of Presentation
      Honkong, China
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] Analytic Equivalence of Bayes a Posteriori Distributions2006

    • Author(s)
      T. Matsuda, S. Watanabe
    • Organizer
      Proc. of ICANN
    • Place of Presentation
      Athens, Greece
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] The Exchange Monte Carlo Method for Bayesian Learning in Singular Learning Machines2006

    • Author(s)
      K. Nagata, S. Watanabe
    • Organizer
      Proc. of IEEE World Congress on Computational Intelligence
    • Place of Presentation
      Vancouver, Canada
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] Generalization Performance of Exchange Monte Carlo Method for Normal Mixture Models2006

    • Author(s)
      K. Nagata, S. Watanabe
    • Organizer
      Proc. of 7th International Conference on Intelligent Data Engineering and Automated Learning
    • Place of Presentation
      Burgos, Spain
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] Generalization Error of Three Layered Learning Model in Bayesian Estimation2006

    • Author(s)
      M. Aoyagi, S. Watanabe
    • Organizer
      Proc. of the 2nd IASTED International Conference on Computational Intelligence
    • Place of Presentation
      San Francisco, California, USA
    • Data Source
      KAKENHI-PROJECT-18079007
  • [Presentation] 尤度関数がガウス近似できないときの統計的学習の評価指標について

    • Author(s)
      渡邊澄夫
    • Organizer
      電子情報通信学会音声研究会
    • Place of Presentation
      花巻温泉ホテル, 花巻市
    • Year and Date
      2014-07-24 – 2014-07-26
    • Invited
    • Data Source
      KAKENHI-PROJECT-23500172
  • [Presentation] irational Invariants in Marginal Likelihood Computation

    • Author(s)
      渡邊澄夫
    • Organizer
      2014 NIMS Thematic Program on Algebraic Statistics
    • Place of Presentation
      National Institute of Mathematical Sciences, Daejeon, South Korea
    • Year and Date
      2014-07-14 – 2014-07-17
    • Invited
    • Data Source
      KAKENHI-PROJECT-23500172
  • [Presentation] Discovery Phenomenon and Information Criteria

    • Author(s)
      渡邊澄夫
    • Organizer
      The Seventh Workshop on Information Theoretic Methods in Science and Engineering
    • Place of Presentation
      Sheraton Waikiki Hotel, Honolulu, USA
    • Year and Date
      2014-07-05 – 2014-07-07
    • Invited
    • Data Source
      KAKENHI-PROJECT-23500172
  • 1.  YAMAZAKI Keisuke (60376936)
    # of Collaborated Projects: 3 results
    # of Collaborated Products: 6 results
  • 2.  KABASHIMA Yoshiyuki (80260652)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 3.  OBUCHI Tomoyuki (40588448)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 4.  竹田 晃人 (70397040)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 5.  坂田 綾香 (80733071)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 6.  井上 純一 (30311658)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 7.  渡辺 治
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results

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