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MURATA Noboru  村田 昇

… Alternative Names

村田 昇  ムラタ ノボル

Less
Researcher Number 60242038
Other IDs
  • ORCIDhttps://orcid.org/0000-0002-4258-6877
External Links
Affiliation (Current) 2025: 早稲田大学, 理工学術院, 教授
Affiliation (based on the past Project Information) *help 2011 – 2024: 早稲田大学, 理工学術院, 教授
2005 – 2007: Waseda University, Department of Electrical Engineering and Bioscience, Profassor, 理工学術院, 教授
2006: 早稲田大学, 理工学部電気電子情報工学科, 教授
2004: 早稲田大学, 理工学術院, 助教授
2000 – 2004: 早稲田大学, 理工学部, 助教授
2001: 大阪大学, 人間科学研究科, 助教授
1993: 東京大学, 工学部, 助手
Review Section/Research Field
Principal Investigator
Science and Engineering / Engineering fundamentals
Except Principal Investigator
Statistical science / Broad Section J / Medium-sized Section 61:Human informatics and related fields / Basic Section 61030:Intelligent informatics-related / Statistical science / Medium-sized Section 43:Biology at molecular to cellular levels, and related fields / Intelligent informatics / Statistical science … More / General mathematics (including Probability theory/Statistical mathematics) / Communication/Network engineering / 情報通信工学 / Complex systems / Engineering fundamentals Less
Keywords
Principal Investigator
information geometry / learning algorithm / Bayes statistics / ensemble learning / statistical learning theory / 情報幾何 / Bregman divergence / boosting / 情報幾何学 / 学習アルゴリズム … More / ベイズ統計 / 集団学習 / 統計的学習 / 距離学習 / 多重カーネル学習 / 情報量 / データ縮約 … More
Except Principal Investigator
機械学習 / 情報幾何学 / 独立成分分析 / 汎化誤差 / サイバーセキュリティ / MRI / 深層学習 / MDL原理 / 情報幾何 / SNP / FastICA / ブースティング / 関数データ解析 / プロテオーム / higher-order cumulant / independent component analysis / 因子分析 / モデルの適合度 / 高次キュムラント / MCMC / 強化学習 / スパースコーディング / 因子回転 / 識別性 / 因果探索 / 転移学習 / 確率的勾配降下法 / 固有値分解 / Fisher情報行列 / 脳情報読み出し(デコーディング) / 脳機能計測・非侵襲的脳活動計測 / 神経心理学・言語神経科学 / 脳認知科学 / 進化分子工学 / 遺伝暗号 / 合成生物学 / タンパク質 / 確率的コンプレキシティ / 非負値行列因子分解 / 局所指数族バンドル / 誤り訂正符号 / Markovモデル / スパース重ね合わせ符号 / メタ学習 / Markov連鎖 / 圧縮センシング / 進化系統樹 / 汚染ガウスモデル / 超解像 / 磁気共鳴画像法 / スパース学習 / 教師あり学習 / 情報理論 / 記述長最小原理 / 非負値行列分解 / モーダル回帰 / ガウス過程 / ノンパラメトリック推定 / 学習アルゴリズム / ノンパラメトリック / 脳内ネットワーク / 項目反応理論 / 多次元尺度法 / 脳科学 / 順序カテゴリカルデータ / 脳信号 / ワーキングメモリ / セミパラメトリック法 / 一般化線形混合モデル / モデル選択 / 欠測値データ / 脳情報 / ランダムネスの効用 / missing data analysis / 多重指標 / うつ病 / Bayesian inference / Causal inference / 測定誤差 / 欠測データと生体情報 / sparse modeling / big data / cyclic model / missingness / causality / 脳科学・脳情報 / fMRIデータ / 統計的因果推論 / メタアナリシス / 欠測値データ解析 / 巡回因果モデル / 疑似尤度解析 / マルチンゲール展開 / ファイナンス / 漸近理論 / 確率過程 / 確率論 / 解析学 / 統計数学 / セミマルチンゲール / ボラティリティ / 非同期共分散推定 / 擬似尤度解析 / 確率過程の統計学 / 極限定理 / Malliavin解析 / 漸近展開 / Sequential Marginal Likelihood / marginal entropy minimization / non-linear feature extraction / Sequential Monte Carlo Methods / Bayesian framework / online change detection / 粒子フィルタ / 変化検出 / 逐次周辺尤度 / 周辺情報量最小化 / 非線形特徴抽出 / 逐次モンテカルロ / Bayes的アプローチ / オンライン変化検出 / proteome / protein expression / gene expression / Boosting / statistical inference / machine learning / バイアスモデル / バイオインフォマティクス / 一塩基多型 / 多重比較 / 自己組織化主成分 / メタアナライシス / パタン認識 / マイクロアレイ / ゲノムデータ / タンパク発現 / 遺伝子発現 / 統計推論 / prior information / confirmatory analysis / factor analysis / factor score indeterminacy / causal inference / nonnormality / 飽和モデル / 同値モデル / モデルの適合 / 因果仮説 / 事前情報 / 検証的分析 / 因子不確定性 / 因果推論 / 非正規性 / Multimodal person authentication / Biometric person authentication / Face verification / Signature verification / 顔特徴 / バイオメトリック認識 / ペントラジェクトリー / HMM / 声紋 / 顔照合 / マルチモーダル / バイオメトリックス / マルチモーダル個人認証 / バイオメオリック個人認証 / 顔画像認証 / 署名照合 / functional data analysis / Proteome / self-organizing PCA / AdaBoost / gene expression data / SNP haplotyping / bioinformatics / 独立成分解析 / モデル特異性 / 統計推測 / ニューラルネット / ロバスト / SNPデータ / 統計推理 / DNAマイクロアレイ / 統計学 / 自己組織化主成分分析 / アダブースト / 遺伝子発現データ / SNPハプロタイピング / バイオインフォマチックス / model fit / confirmatory and exploratory analysis / higher-order moment / identifiability / structural equation modeling / independent factor analysis / 共分散構造分析 / 独立 / 変数選択 / 因子仮説 / 誤差共分散 / 共通性 / 独立性 / 構造方程式モデリング(SEM) / 独立成分分析(ICA) / 検証的分析と探索的分析 / 高次モーメント / 構造方程式モデリング / 独立因子分析 / ベイズ推論 / 全状態探索法 / λ-scan / SpDMD / 潜在構造 / スパースモデリング / ES-DoS / 全状態探索 / スパースDMD / ブラインドセンシング / スペクトル分解 / 潜在構造抽出 / データ駆動科学 / 高次元データ解析 / 認知心理学 / 国際研究者交流(英国) / 国際研究者交流(米国) / 精神疾患と脳内情報処理 / functinal connectivity / structural connectivity / ベイズ / 脳内情報処理 / 統計的正則化法 / 不良設定問題 / 誤差の制御 / 多変量解析 / ベイジアンネットワーク / SEM / ICA / 非正規情報 / 統計的因果 / 訓練誤差 / 情報量規準 / 学習曲線 / 神経回路網 Less
  • Research Projects

    (22 results)
  • Research Products

    (93 results)
  • Co-Researchers

    (69 People)
  •  Fisher情報行列と記述長最小原理に基づく深層学習の理論

    • Principal Investigator
      竹内 純一
    • Project Period (FY)
      2023 – 2025
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Review Section
      Medium-sized Section 61:Human informatics and related fields
    • Research Institution
      Kyushu University
  •  脳磁図と頭蓋内脳波の時間分解MVP解析による言語の形式と意味を繋ぐシステムの解明

    • Principal Investigator
      酒井 弘
    • Project Period (FY)
      2023 – 2025
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Review Section
      Medium-sized Section 61:Human informatics and related fields
    • Research Institution
      Waseda University
  •  Explorations into the Neurocognitive Basis of Symbolic Processing: Focusing on the Mediation System between Form and Meaning of Human Language

    • Principal Investigator
      酒井 弘
    • Project Period (FY)
      2023 – 2027
    • Research Category
      Grant-in-Aid for Scientific Research (S)
    • Review Section
      Broad Section J
    • Research Institution
      Waseda University
  •  Theory and Practice of Deep Learning Based on Fisher Information Matrix and MDL Principle

    • Principal Investigator
      竹内 純一
    • Project Period (FY)
      2023 – 2027
    • Research Category
      Grant-in-Aid for Scientific Research (S)
    • Review Section
      Broad Section J
    • Research Institution
      Kyushu University
  •  Analysis of transfer learning based on information geometry

    • Principal Investigator
      日野 英逸
    • Project Period (FY)
      2022 – 2026
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 61030:Intelligent informatics-related
    • Research Institution
      The Institute of Statistical Mathematics
  •  Is the set of 20 Canonical amino acids essential for Life: from viewpoints of alternative genetic codes

    • Principal Investigator
      Kiga Daisuke
    • Project Period (FY)
      2019 – 2021
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Review Section
      Medium-sized Section 43:Biology at molecular to cellular levels, and related fields
    • Research Institution
      Waseda University
  •  Development of the MDL Principle and Its Applications

    • Principal Investigator
      Takeuchi Junichi
    • Project Period (FY)
      2018 – 2020
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 61030:Intelligent informatics-related
    • Research Institution
      Kyushu University
  •  Development of machine learning method for distribution data based on information geometry

    • Principal Investigator
      Akaho Shotaro
    • Project Period (FY)
      2017 – 2021
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Intelligent informatics
    • Research Institution
      National Institute of Advanced Industrial Science and Technology
  •  Statistical Science of Bioinformatics

    • Principal Investigator
      Kano Yutaka
    • Project Period (FY)
      2015 – 2018
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Statistical science
    • Research Institution
      Osaka University
  •  Extraction of latent structure by sparse modeling

    • Principal Investigator
      Okada Masato
    • 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
      The University of Tokyo
  •  Theoretical statistics for stochastic processes and limit theorems

    • Principal Investigator
      Yoshida Nakahiro
    • Project Period (FY)
      2012 – 2015
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      General mathematics (including Probability theory/Statistical mathematics)
    • Research Institution
      The University of Tokyo
  •  Statistical regularization theory and neurophysiology

    • Principal Investigator
      KANO Yutaka
    • Project Period (FY)
      2011 – 2012
    • Research Category
      Grant-in-Aid for Challenging Exploratory Research
    • Research Field
      Statistical science
    • Research Institution
      Osaka University
  •  Weighted data contraction based on information contentPrincipal Investigator

    • Principal Investigator
      MURATA Noboru
    • Project Period (FY)
      2011 – 2012
    • Research Category
      Grant-in-Aid for Challenging Exploratory Research
    • Research Field
      Engineering fundamentals
    • Research Institution
      Waseda University
  •  統計的因果推論と非正規性

    • Principal Investigator
      KANO Yutaka
    • Project Period (FY)
      2005
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Statistical science
    • Research Institution
      Osaka University
  •  Online Change Detection with Sequential Marginal Likelihook : Particle Filter Approach

    • Principal Investigator
      MATSUMOTO Takashi
    • Project Period (FY)
      2005 – 2007
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Communication/Network engineering
    • Research Institution
      Waseda University
  •  New statistical methodology for genome diversity analysis

    • Principal Investigator
      EGUCHI Shinto
    • Project Period (FY)
      2004 – 2007
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Statistical science
    • Research Institution
      The Institute of Statistical Mathematics
  •  Between ICA and SEM

    • Principal Investigator
      KANO Yutaka
    • Project Period (FY)
      2003 – 2005
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Statistical science
    • Research Institution
      Osaka University
  •  A Statistical Study on Bayes Statistics and Ensemble LearningPrincipal Investigator

    • Principal Investigator
      MURATA Noboru
    • Project Period (FY)
      2002 – 2005
    • Research Category
      Grant-in-Aid for Scientific Research on Priority Areas
    • Review Section
      Science and Engineering
    • Research Institution
      Waseda University
  •  Fusion of Statistics, Neural-Net, Machine Learning

    • Principal Investigator
      EGUCHI Shinto
    • Project Period (FY)
      2001 – 2003
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Statistical science
    • Research Institution
      The Institute of Statistical Mathematics
  •  A Basic Study on Multimodal Biometric Person Authentication : Signature, Face and Voice

    • Principal Investigator
      MATSUMOTO Takashi
    • Project Period (FY)
      2001 – 2003
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      情報通信工学
    • Research Institution
      Waseda University
  •  "Confirmatory" independent component analysis and independent factor analysis

    • Principal Investigator
      KANO Yutaka
    • Project Period (FY)
      2000 – 2002
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Statistical science
    • Research Institution
      Osaka University
  •  神経回路モデルに基づく学習情報処理機構の研究

    • Principal Investigator
      甘利 俊一
    • Project Period (FY)
      1993
    • Research Category
      Grant-in-Aid for General Scientific Research (C)
    • Research Field
      Engineering fundamentals
    • Research Institution
      The University of Tokyo

All 2022 2021 2020 2019 2018 2017 2016 2015 2012 2008 2007 2006 2005 2004 2003 2002 2001 Other

All Journal Article Presentation Book

  • [Book] 情報理論の基礎-情報と学習の直感的理解のために2005

    • Author(s)
      村田 昇
    • Total Pages
      140
    • Publisher
      サイエンス社
    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-14084210
  • [Book] 情報理論の基礎-情報と学習の直観的理解のために2005

    • Author(s)
      村田昇
    • Total Pages
      140
    • Publisher
      サイエンス社
    • Data Source
      KAKENHI-PROJECT-14084210
  • [Book] パターン認識と学習の統計学-新しい概念と手法2003

    • Author(s)
      麻生英樹, 津田宏治, 村田昇
    • Total Pages
      225
    • Publisher
      岩波書店
    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-14084210
  • [Book] 独立成分分析-多変量データ解析の新しい方法2002

    • Author(s)
      甘利俊一, 村田昇
    • Total Pages
      160
    • Publisher
      サイエンス社
    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-13650431
  • [Journal Article] Geometry of EM and related iterative algorithms2022

    • Author(s)
      Hino Hideitsu、Akaho Shotaro、Murata Noboru
    • Journal Title

      Information Geometry

      Volume: - Issue: S1 Pages: 39-77

    • DOI

      10.1007/s41884-022-00080-y

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23K24909
  • [Journal Article] Detecting cell assemblies by NMF-based clustering from calcium imaging data2022

    • Author(s)
      Nagayama Mizuo、Aritake Toshimitsu、Hino Hideitsu、Kanda Takeshi、Miyazaki Takehiro、Yanagisawa Masashi、Akaho Shotaro、Murata Noboru
    • Journal Title

      Neural Networks

      Volume: 149 Pages: 29-39

    • DOI

      10.1016/j.neunet.2022.01.023

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19K12111, KAKENHI-PROJECT-17H06095, KAKENHI-PROJECT-17H01793, KAKENHI-PROJECT-20K06922, KAKENHI-PROJECT-22H04918
  • [Journal Article] Fast and robust multiplane single-molecule localization microscopy using a deep neural network2021

    • Author(s)
      Aritake Toshimitsu、Hino Hideitsu、Namiki Shigeyuki、Asanuma Daisuke、Hirose Kenzo、Murata Noboru
    • Journal Title

      Neurocomputing

      Volume: 451 Pages: 279-289

    • DOI

      10.1016/j.neucom.2021.04.050

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-17H01793, KAKENHI-PROJECT-20K07286
  • [Journal Article] Single-Molecule Localization by Voxel-Wise Regression Using Convolutional Neural Network.2020

    • Author(s)
      Aritake T, Hino H, Namiki S, Asanuma D, Hirose K, Murata N
    • Journal Title

      Results in Optics

      Volume: 1 Pages: 100019-100019

    • DOI

      10.1016/j.rio.2020.100019

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20K07286, KAKENHI-PROJECT-18H03291, KAKENHI-PROJECT-19K22247, KAKENHI-PROJECT-17H01793
  • [Journal Article] Learning Scale and Shift-Invariant Dictionary for Sparse Representation2019

    • Author(s)
      Aritake Toshimitsu、Murata Noboru
    • Journal Title

      Machine Learning, Optimization, and Data Science

      Volume: 11943 Pages: 472-483

    • DOI

      10.1007/978-3-030-37599-7_39

    • ISBN
      9783030375980, 9783030375997
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18H03291
  • [Journal Article] On a Convergence Property of a Geometrical Algorithm for Statistical Manifolds2019

    • Author(s)
      Akaho Shotaro、Hino Hideitsu、Murata Noboru
    • Journal Title

      ICONIP 2019: Neural Information Processing (CCIS)

      Volume: 1143 Pages: 262-272

    • DOI

      10.1007/978-3-030-36802-9_29

    • ISBN
      9783030368012, 9783030368029
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-17H01793
  • [Journal Article] Transport analysis of infinitely deep neural network2019

    • Author(s)
      Sonoda, S.and Murata, N.
    • Journal Title

      Journal of Machine Learning Research

      Volume: 20(2) Pages: 1-52

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-15H02669
  • [Journal Article] Estimation of neural connections from partially observed neural spikes2018

    • Author(s)
      Iwasaki Taishi、Hino Hideitsu、Tatsuno Masami、Akaho Shotaro、Murata Noboru
    • Journal Title

      Neural Networks

      Volume: 108 Pages: 172-191

    • DOI

      10.1016/j.neunet.2018.07.019

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-17H01793, KAKENHI-PROJECT-16K16108
  • [Journal Article] Geometrical Formulation of the Nonnegative Matrix Factorization2018

    • Author(s)
      Akaho Shotaro、Hino Hideitsu、Nara Neneka、Murata Noboru
    • Journal Title

      International Conference on Neural Information Processing (LNCS(

      Volume: 11303 Pages: 525-534

    • DOI

      10.1007/978-3-030-04182-3_46

    • ISBN
      9783030041816, 9783030041823
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-17H01793
  • [Journal Article] Information Geometric Perspective of Modal Linear Regression2018

    • Author(s)
      Sando Keishi、Akaho Shotaro、Murata Noboru、Hino Hideitsu
    • Journal Title

      International Conference on Neural Information Processing

      Volume: 11303 Pages: 535-545

    • DOI

      10.1007/978-3-030-04182-3_47

    • ISBN
      9783030041816, 9783030041823
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-17H01793
  • [Journal Article] Analysis of Coherent Phonon Signals by Sparsity-promoting Dynamic Mode Decomposition2018

    • Author(s)
      S. Murata、S. Aihara、S. Tokuda、K. Iwamitsu、K Mizoguchi、I. Akai、M. Okada
    • Journal Title

      Journal of the Physical Society of Japan

      Volume: 87 Issue: 5 Pages: 054003-054003

    • DOI

      10.7566/jpsj.87.054003

    • NAID

      210000134811

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PUBLICLY-16H01552, KAKENHI-PLANNED-25120009, KAKENHI-PROJECT-16K13824, KAKENHI-PROJECT-16H04002, KAKENHI-PROJECT-16H04003
  • [Journal Article] Extraction of Latent Dynamical Structure from Time-series Spectral Data2016

    • Author(s)
      Shin Murata, Kenji Nagata, Makoto Uemura, and Masato Okada
    • Journal Title

      Journal of the Physical Society of Japan

      Volume: 85(10) Issue: 10 Pages: 1-6

    • DOI

      10.7566/jpsj.85.104003

    • NAID

      210000134111

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PLANNED-25120009, KAKENHI-PROJECT-25330283
  • [Journal Article] Maximum tsunami height prediction using pressure gauge data by a Gaussian process at Owase in the Kii Peninsula, Japan2016

    • Author(s)
      Igarashi, Y., T. Hori, S. Murata, T. Baba and M. Okada
    • Journal Title

      Mar. Geophys. Res

      Volume: 37 Issue: 4 Pages: 361-370

    • DOI

      10.1007/s11001-016-9286-z

    • NAID

      120007144462

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-16H01549, KAKENHI-PLANNED-25120009, KAKENHI-PROJECT-16H01707
  • [Journal Article] Multiple Kernel Learning with Gaussianity Measure2012

    • Author(s)
      Hideitsu Hino, Nima Reyhani, Noboru Murata
    • Journal Title

      Neural Computation

      Volume: Vol.24 Issue: 7 Pages: 1853-1881

    • DOI

      10.1162/neco_a_00299

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23656072
  • [Journal Article] Multiple Kernel Learning with Gaussianity Measures2012

    • Author(s)
      Hideitsu Hino, Nima Reyhani, Noboru Murata
    • Journal Title

      Neural Computation

      Volume: 24

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23656072
  • [Journal Article] Robust boosting algorithm against mislabeling in multi-class problems2008

    • Author(s)
      T.Takenouchi, S.Eguchi, N.Murata and T.Kanamori.
    • Journal Title

      Neural Computation 20(6)

      Pages: 1596-1630

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Robust boosting algorithm against mislabeling in multi-class problems.2008

    • Author(s)
      T. Takenouchi, S. Eguchi, N. Murata and T. Kanamori.
    • Journal Title

      Neural Computation 20(6)

      Pages: 1596-1630

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Robust boosting algorithm against mislabeling in multi-class problems.2008

    • Author(s)
      T. Takenouchi, S. Eguchi, N. Murata, T. Kanamori.
    • Journal Title

      Neural Computation 20, 6

      Pages: 1596-1630

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Robust Loss Functions for Boosting2007

    • Author(s)
      T.Kanamori, T.Takenouchi, S.Eguchi, N.Murata
    • Journal Title

      Neural Computation (To appear)

    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] 12007

    • Author(s)
      T.Kanamori, T.Takenouchi, S.Esuchi, N.Murata
    • Journal Title

      19(8)

      Pages: 2183-2244

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-17560352
  • [Journal Article] Tutorial Series on Brain-Inspired Computing, Part 6 : Geometrical Structure Of Boosting Algorithm2007

    • Author(s)
      T. Kanamori, T. Takenouchi, N. Murata
    • Journal Title

      New Generation Computing 25(1)

      Pages: 117-141

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-17560352
  • [Journal Article] Tutorial Series on Brain-Inspired Computing,Part 6:Geometrical Structure of Boosting Algorithm2007

    • Author(s)
      T.Kanamori, T.Takenouchi, N.Murata
    • Journal Title

      New Generation Computing 25(1)

      Pages: 117-141

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-17560352
  • [Journal Article] Robust Loss Functions for Boosting2007

    • Author(s)
      T. Kanamori, T. Takenouchi, S. Eguchi, N. Murata
    • Journal Title

      Neural Computation 19(8)

      Pages: 2183-2244

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-17560352
  • [Journal Article] Robust loss functions for boosting2007

    • Author(s)
      T.Kanamori, T.Takenouchi, S.Eguchi and N.Murata.
    • Journal Title

      Neural Computation 19

      Pages: 2183-2244

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Robust loss functions for boosting.2007

    • Author(s)
      T. Kanamori, T. Takenouchi, S. Eguchi, N. Murata.
    • Journal Title

      Neural Computation 19

      Pages: 2183-2244

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Robust Loss Functions for Boosting2007

    • Author(s)
      T.Kanamori, T.Takenouchi, S.Eguchi, N.Murata
    • Journal Title

      Neural Computation 19(8)

      Pages: 2183-2244

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-17560352
  • [Journal Article] A modified EM Algorithm for mixture models based on Bregman divergence2007

    • Author(s)
      Yu Fujimoto, Noboru Murata
    • Journal Title

      Annals of the Institute of Statistical Mathematics 59(1)

      Pages: 3-25

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-17560352
  • [Journal Article] Robust loss functions for boosting.2007

    • Author(s)
      T. Kanamori, T. Takenouchi, S. Eguchi and N. Murata.
    • Journal Title

      Neural Computation 19

      Pages: 2183-2244

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] 時間依存型隠れマルコフモデルを用いた睡眠段階の判別2006

    • Author(s)
      吉村 昌子, 村田 昇
    • Journal Title

      電子情報通信学会技術研究報告 106(101)

      Pages: 7-12

    • NAID

      110004751550

    • Data Source
      KAKENHI-PROJECT-17560352
  • [Journal Article] Predicting sleep stages based on Time-dependent hidden Markov model2006

    • Author(s)
      M. Yoshimura, N. Murata
    • Journal Title

      IEICE technical report. NC 106(102)

      Pages: 7-12

    • NAID

      110004751550

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-17560352
  • [Journal Article] On-line boosting method based on EM Algorithm2006

    • Author(s)
      R, Nishino, N. Murata
    • Journal Title

      IEICE technical report. NC 106(102)

      Pages: 25-30

    • NAID

      110004751566

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-17560352
  • [Journal Article] EM法を用いた逐次更新型ブースティング2006

    • Author(s)
      西野 亮太郎, 村田 昇
    • Journal Title

      電子情報通信学会技術研究報告 106(102)

      Pages: 25-30

    • NAID

      110004751566

    • Data Source
      KAKENHI-PROJECT-17560352
  • [Journal Article] EM法を用いた逐次更新型ブースティング2006

    • Author(s)
      西野 亮太郎、村田 昇
    • Journal Title

      電子情報通信学会技術研究報告, NC 106(102)

      Pages: 25-30

    • NAID

      110004751566

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-17560352
  • [Journal Article] Tutorial Series on Brain-Inspired Computing, Part6 : Geometrical Structure of Boosting Algorithm.2006

    • Author(s)
      Takafumi Kanamori, Takashi Takenouchi, Noboru Murata
    • Journal Title

      New Generation Computing 25(1)

      Pages: 117-141

    • Data Source
      KAKENHI-PROJECT-17560352
  • [Journal Article] 時間依存型隠れマルコフモデルを用いた睡眠段階の判別2006

    • Author(s)
      吉村 昌子、村田 昇
    • Journal Title

      電子情報通信学会技術研究報告, NC 106(101)

      Pages: 7-12

    • NAID

      110004751550

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-17560352
  • [Journal Article] Geometrical Properties of Nu Support Vector Machines with Different Norms2005

    • Author(s)
      Kazushi Ikeda, Noboru Murata
    • Journal Title

      Neural Computation 17(11)

      Pages: 2508-2529

    • Data Source
      KAKENHI-PROJECT-14084210
  • [Journal Article] A Gaussian Process Robust Regression2005

    • Author(s)
      N.Murata, Y.Kuroda
    • Journal Title

      Progress of Theoretical Physics Supplement 157

      Pages: 280-283

    • NAID

      110001276024

    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-14084210
  • [Journal Article] Information Geometry of Bregman divergence and its application to learning algorithms2005

    • Author(s)
      Noboru Murata
    • Journal Title

      2nd International Symposium on Information Geometry and its Applications

      Pages: 12-16

    • Data Source
      KAKENHI-PROJECT-17560352
  • [Journal Article] A Gaussian Process Robust Regression.2005

    • Author(s)
      Noboru Murata, Yusuke Kuroda.
    • Journal Title

      Progress of Theoretical Physics Supplement 157

      Pages: 280-283

    • NAID

      110001276024

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-14084210
  • [Journal Article] Geometrical Properties of Nu Support Vector Machines with Different Norms2005

    • Author(s)
      K.Ikeda, N.Murata
    • Journal Title

      Neural Computation 17(11)

      Pages: 2508-2529

    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-14084210
  • [Journal Article] Geometrical Properties of Nu Support Vector Machines with Different Norms.2005

    • Author(s)
      Kazushi Ikeda, Noboru Murata.
    • Journal Title

      Neural Computation 17(11)

      Pages: 2508-2529

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-14084210
  • [Journal Article] A Gaussian Process Robust Regression2005

    • Author(s)
      Noboru Murata, Yusuke Kuroda
    • Journal Title

      Progress of Theoretical Physics Supplement 157

      Pages: 280-283

    • NAID

      110001276024

    • Data Source
      KAKENHI-PROJECT-14084210
  • [Journal Article] Gaussian Processes Robust Regression2004

    • Author(s)
      黒田勇介, 村田昇
    • Journal Title

      電子情報通信学会総合大会 (CD-ROM)

    • NAID

      110001276024

    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-13650431
  • [Journal Article] Improving Generalization Performance of Natural Gradient Learning Using Optimized Regularization by NIC.2004

    • Author(s)
      Hyeyoung Park, Noboru Murata, Shun-ichi Amari.
    • Journal Title

      Neural Computation 16(2)

      Pages: 355-382

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-14084210
  • [Journal Article] Gaussian Processes Robust Regression2004

    • Author(s)
      Y.Kuroda.N.Murata
    • Journal Title

      General Conference of IEICE (CD-ROM)

    • NAID

      110001276024

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-13650431
  • [Journal Article] Improving Generalization Performance of Natural Gradient Learning Using Optimized Regularization by NIC2004

    • Author(s)
      Hyeyoung Park, Noboru Murata, Shun-ichi Amari
    • Journal Title

      Neural Computation 16(2)

      Pages: 355-382

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-13650431
  • [Journal Article] The most robust loss function for boosting2004

    • Author(s)
      Kanamori, T., Takenouchi, T., Eguchi, S. and Murata, N.
    • Journal Title

      Lecture Notes in Computer Science Neural Information Processing:11th International Conference 3316

      Pages: 496-501

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Information Geometry of U-Boost and Bregman Divergence2004

    • Author(s)
      Noboru Murata, Takashi Takenouchi, Takaufumi Kanamori, Shinto Eguchi
    • Journal Title

      Neural Computation 16

      Pages: 1437-1481

    • Data Source
      KAKENHI-PROJECT-14084210
  • [Journal Article] Information geometry of U-Boost and Bregman divergence2004

    • Author(s)
      Murata, N., Takenouchi, T., Kanamori, T. and Eguchi, S.
    • Journal Title

      Neural Computation 16

      Pages: 1437-1481

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] The most robust loss function for boosting.2004

    • Author(s)
      Kanamori, T.(Tokyo Institute of Technology), Takenouchi, T.(The Institute of Statisitcal Mathematics), Eguchi, S.(The Institute of Statisitcal Mathematics), Murata, N.(Waseda university)
    • Journal Title

      Lecture Notes in Computer Science Neural Information Processing : 11th International Conference vol.3316

      Pages: 496-501

    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Information Geometry of U-Boost and Bregman Divergence2004

    • Author(s)
      Noboru Murata, Takashi Takenouchi, et al.
    • Journal Title

      Neural Computation (to appear)

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-13650431
  • [Journal Article] Information Geometry of U-Boost and Bregman Divergence.2004

    • Author(s)
      Noboru Murata, Takashi Takenouchi, Takaufumi Kanamori, Shinto Eguchi.
    • Journal Title

      Neural Computation 16(7)

      Pages: 1437-1481

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-14084210
  • [Journal Article] Information Geometry of U-Boost and Bregman Divergence2004

    • Author(s)
      N.Murata, T.Takenouchi, T.Kanamori, S.Eguchi
    • Journal Title

      Neural Computation 16(7)

      Pages: 1437-1481

    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-14084210
  • [Journal Article] Information geometry of UBoost and Bregman divergence.2004

    • Author(s)
      N. Murata, T. Takenouchi, T. Kanamori, S. Eguchi.
    • Journal Title

      Neural Computation 16

      Pages: 437-1481

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Improving Generalization Performance of Natural Gradient Learning Using Optimized Regularization by NIC2004

    • Author(s)
      Hyeyoung Park, Noboru Murata, et al.
    • Journal Title

      Neural Computation 16(2)

      Pages: 355-382

    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-13650431
  • [Journal Article] Information geometry of U-Boost and Bregman divergence2004

    • Author(s)
      Murata, N.(Waseda unversity), Takenouchi, T.(The Institute of Statistical Mathematics), Kanamori, T.(Tokyo Institute of Technology), Eguchi, S.(The Institute of Statistical Mathematics)
    • Journal Title

      Neural Computation vol.16

      Pages: 1437-1481

    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Improving Generalization Performance of Natural Gradient Learning Using Optimized Regularization by NIC2004

    • Author(s)
      H.Park, N.Murata, S.Amari
    • Journal Title

      Neural Computation 16(2)

      Pages: 355-382

    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-14084210
  • [Journal Article] Geometry of U-Boost algorithm2003

    • Author(s)
      Noboru Murata
    • Journal Title

      Joint Workshop of Hayashibara Foundation and SMAPIP

      Pages: 43-52

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-13650431
  • [Journal Article] パターン認識と学習の統計学-新しい概念と手法2003

    • Author(s)
      麻生英樹, 津田宏治, 村田昇
    • Journal Title

      統計科学のフロンティア(岩波書店) 6

      Pages: 139-219

    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-13650431
  • [Journal Article] 情報幾何入門2003

    • Author(s)
      村田昇
    • Journal Title

      電子情報通信学会技術研究報告 NC2003,22-33

      Pages: 1-6

    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-13650431
  • [Journal Article] An Approach of Grouping Decomposed Components2003

    • Author(s)
      Daisuke Ito, Noboru Murata, et al.
    • Journal Title

      4^<th> Int'l Symposium on Independent Component Analysis and Blind Signal Separation

      Pages: 745-750

    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-13650431
  • [Journal Article] An Approach of Grouping Decomposed Components2003

    • Author(s)
      Daisuke Ito, Takuya Mukai, Noboru Murata
    • Journal Title

      4th International Symposium on Independent Component Analysis and Blind Signal Separation

      Pages: 745-750

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-13650431
  • [Journal Article] 機械学習における統計的方法2003

    • Author(s)
      村田昇
    • Journal Title

      第2回情報科学技術フォーラム「言語情報アクセス基盤技術としての機械学習」予稿集

      Pages: 1-20

    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-13650431
  • [Journal Article] Geometry of U-Boost algorithm2003

    • Author(s)
      Noboru Murata
    • Journal Title

      Joint Workshop of Hayashibara Fundation and SMAPIP

      Pages: 43-51

    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-13650431
  • [Journal Article] On-line learning in changing environments with applications in supervised and unsupervised learning2002

    • Author(s)
      Noboru Murata, Motoaki Kawanabe, et al.
    • Journal Title

      Neural Networks 15

      Pages: 743-760

    • NAID

      10010903194

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-13650431
  • [Journal Article] Multiplicative nonholonomic/Newton-like algorithm2001

    • Author(s)
      Akuzawa Toshinao, Noboru Murata
    • Journal Title

      Chaos Solitons & Fractals 12(4)

      Pages: 785-793

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-13650431
  • [Journal Article] Properties of the Empirical Characteristic Function and its Application to Testing for Independence2001

    • Author(s)
      Noboru Murata
    • Journal Title

      3^<rd> International Conference on Independent Component Analysis and Blind Signal Separation

      Pages: 445-450

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-13650431
  • [Journal Article] Properties of the Empirical Characteristics Function and its Application to Testing for Independence2001

    • Author(s)
      Noboru Murata
    • Journal Title

      3^<rd> Int'l Conference on Independent Component Analysis and Blind Signal Separation

      Pages: 19-24

    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-13650431
  • [Journal Article] Sequential extraction of minor components2001

    • Author(s)
      Tianping Chen, Shun-ichi Amari, Noboru Murata
    • Journal Title

      Neural Processing Letters 13(3)

      Pages: 195-201

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-13650431
  • [Journal Article] Support vector machines with different norms : motivation, formulations and results2001

    • Author(s)
      Joao P.Pedroso, Noboru Murata
    • Journal Title

      Pattern Recognition Letters 22(12)

      Pages: 1263-1272

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-13650431
  • [Journal Article] Entropy-Based Sliced Inverse Regression

    • Author(s)
      Hideitsu Hino, Keigo Wakayama, Noboru Murata
    • Journal Title

      Computational Statistics and Data Analysis

      Volume: (掲載決定)

    • NAID

      120007136834

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23656072
  • [Presentation] Influence Analysis of Amino Acid Residues on Protein Functions using Attention-based Neural Networks2019

    • Author(s)
      Takato Kameyama, Risa Igarashi, Shigeharu Mukai, Hideaki Kanehara, Masaki Aota, Daisuke Kiga, Noboru Murata
    • Organizer
      Chem-Bio Informatics Society(CBI) Annual Meeting 2019Chem-Bio Informatics Society(CBI) Annual Meeting 2019
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H00985
  • [Presentation] 非負値行列因子分解を用いたカルシウムイメージンクデータからの睡眠状態解析2019

    • Author(s)
      永山瑞生・有竹俊光・日野英逸・上田壮志・宮崎峻弘・柳沢正史・赤穂昭太郎・村田 昇
    • Organizer
      電子情報通信学会 IBISML 研究会
    • Data Source
      KAKENHI-PROJECT-17H01793
  • [Presentation] Sleep State Analysis Using Calcium Imaging Data by Non-negative Matrix Factorization2019

    • Author(s)
      Mizuo Nagayama, Toshimitsu Aritake, Hideitsu Hino, Takeshi Kanda, Toshihiro Miyazaki, Masashi Yanagisawa, Shotaro Akaho, Noboru Murata
    • Organizer
      International Conference on Artificial Neural Networks 2019
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01793
  • [Presentation] 最頻値線形回帰の情報幾何2018

    • Author(s)
      三戸圭史,赤穂昭太郎,村田 昇,日野英逸
    • Organizer
      第32回情報論的学習理論と機械学習研究会(IBISML)
    • Data Source
      KAKENHI-PROJECT-17H01793
  • [Presentation] SpDMDによるコヒーレントフォノンの減衰振動モード分解2017

    • Author(s)
      岩満一功,相原慎吾,溝口 幸司,五十嵐 康彦,村田 伸,岡田 真人,赤井 一郎
    • Organizer
      2017年度人工知能学会全国大会(JSAI2017), 2I2-1
    • Data Source
      KAKENHI-PLANNED-25120009
  • [Presentation] 神経回路モデルのダイナミクスのデータ駆動的解析2016

    • Author(s)
      村田伸,岡田真人
    • Organizer
      2016年度人工知能学会全国大会 (JSAI2016)
    • Place of Presentation
      北九州国際会議場
    • Year and Date
      2016-06-06
    • Data Source
      KAKENHI-PLANNED-25120009
  • [Presentation] リカレント型神経回路モデルに埋め込まれた低次元アトラククターの動的モード分解による抽出2016

    • Author(s)
      村田伸,岡田真人
    • Organizer
      第19回情報論的学習理論ワークショップ(IBIS2016)
    • Place of Presentation
      京都大学
    • Year and Date
      2016-11-16
    • Data Source
      KAKENHI-PLANNED-25120009
  • [Presentation] SpDMDによるコヒーレントフォノン信号のモード分解解析(II)2016

    • Author(s)
      相原慎吾,村田伸,徳田悟,岩満一功,岡田真人,赤井一郎
    • Organizer
      日本物理学会,2016年秋季大会
    • Place of Presentation
      金沢大学
    • Year and Date
      2016-09-13
    • Data Source
      KAKENHI-PLANNED-25120009
  • [Presentation] SpDMDによるコヒーレントフォノン信号のモード分解解析(I)2016

    • Author(s)
      赤井一郎,村田伸,相原慎吾,徳田悟,岩満一功,岡田真人
    • Organizer
      日本物理学会,2016年秋季大会
    • Place of Presentation
      金沢大学
    • Year and Date
      2016-09-13
    • Data Source
      KAKENHI-PLANNED-25120009
  • [Presentation] 時系列スペクトルデータからの潜在的動力学推定2015

    • Author(s)
      村田伸,永田賢二,植村誠,岡田真人
    • Organizer
      ニューロコンピューティング研究会
    • Place of Presentation
      玉川大学(東京都町田市)
    • Year and Date
      2015-03-17
    • Data Source
      KAKENHI-PLANNED-25120009
  • [Presentation] Retrieving graphical structure of distributions by diffusion kernels2012

    • Author(s)
      Noboru Murata
    • Organizer
      International Workshop on Anomalous Statistics, Generalized Entropies, and Information Geometry
    • Place of Presentation
      奈良
    • Data Source
      KAKENHI-PROJECT-23656072
  • [Presentation] Weight Optimization for Ensemble of Learners by Information Minimization2012

    • Author(s)
      Hideitsu Hino, Kazuki Miura, Noboru Murata
    • Organizer
      The 2nd Institute of Mathematical Statistics Asia Pacific Rim Meeting
    • Place of Presentation
      筑波
    • Year and Date
      2012-07-04
    • Data Source
      KAKENHI-PROJECT-23656072
  • [Presentation] Automatic Extraction of Basic Electricity Consumption Pattern in Households2012

    • Author(s)
      Haoyang Shen, Hideitsu Hino, Noboru Murata, Shinji Wakao, Yasuhiro Hayashi
    • Organizer
      International Conference on Renewable Energy Research and Applications 2012
    • Place of Presentation
      Nagasaki, Japan
    • Data Source
      KAKENHI-PROJECT-23656072
  • [Presentation] Weight Optimization for Ensemble of Learners by Information Minimization2012

    • Author(s)
      Hideitsu Hino, Kazuki Miura, Noboru Murata
    • Organizer
      The 2nd Institute of Mathematical Statistics Asia Pacific Rim Meeting
    • Place of Presentation
      Tsukuba, Japan
    • Data Source
      KAKENHI-PROJECT-23656072
  • [Presentation] Automatic Extraction of Basic Electricity Consumption Pattern in Households2012

    • Author(s)
      Haoyang Shen, Hideitsu Hino, Noboru Murata, Shinji Wakao, Yasuhiro Hayashi
    • Organizer
      International Conference on Renewable Energy Research and Applications
    • Place of Presentation
      長崎
    • Year and Date
      2012-11-13
    • Data Source
      KAKENHI-PROJECT-23656072
  • [Presentation] Sliced Inverse Regression with Conditional Entropy Minimization2012

    • Author(s)
      Hideitsu Hino, Keigo Wakayama, Noboru Murata
    • Organizer
      21st International Conference on Pattern Recognition
    • Place of Presentation
      Tsukuba, Japan
    • Data Source
      KAKENHI-PROJECT-23656072
  • [Presentation] Information Geometry of Bregman Divergence and its Application to Learning Algorithms2005

    • Author(s)
      N.Murata
    • Organizer
      2nd Int'l Symposium on Information Geometry and its Applications
    • Place of Presentation
      Tokyo
    • Year and Date
      2005-12-16
    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-17560352
  • [Presentation] 機械学習による漸近展開の近似精度の予測

    • Author(s)
      Hino, H., Nomura, R., Murata, N., Yoshida, N.
    • Organizer
      2013年度 統計関連学会連合大会
    • Place of Presentation
      大阪
    • Data Source
      KAKENHI-PROJECT-24340015
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