Takenouchi Takashi 竹之内高志

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TAKENOUCHI Takashi 竹之内高志

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Researcher Number	50403340
Other IDs
Affiliation (Current)	2025: 政策研究大学院大学, 政策研究科, 教授
Affiliation (based on the past Project Information) *help	2021 – 2023: 政策研究大学院大学, 政策研究科, 教授 2013 – 2020: 公立はこだて未来大学, システム情報科学部, 准教授 2012: はこだて未来大学, 複雑系情報学科, 准教授 2007 – 2010: 奈良先端科学技術大学院大学, 情報科学研究科, 助教 2008: Nara Institute of Science and Technology, 情報科学研究科, 助教授 2007: Nara Institute of Science and Technology, 情報科学研究科, 特任助教 2006 – 2007: 奈良先端科学技術大学院大学, 情報科学研究科, 研究員
Review Section/Research Field	Principal Investigator Statistical science / Statistical science / Basic Section 12040:Applied mathematics and statistics-related Except Principal Investigator Statistical science / Statistical science / Basic Section 60030:Statistical science-related / Science and Engineering
Keywords	Principal Investigator アンサンブル学習 / ロバスト / 非確率モデル / 機械学習 / 情報幾何 / 判別分析 / 多値判別 / ブースティング / パターン認識 / 独立成分分析 … More / γダイバージェンス / ニューラルネットワーク / 弱ラベル / 不均衡分類問題 / 教師なし学習 / 影響関数 / 対照学習 / 頑健性 / ダイバージェンス / 統計的推定 / 変形ブレグマン擬距離 / 漸近有効性 / 非正規化モデル / 非負値行列因子分解 / 離散確率モデル / 一般化ダイバージェンス / 板倉斉藤ダイバージェンス / 拡張擬似モデル / 板倉斎藤ダイバージェンス / ブートストラップ / 統計的学習理論 / 情報統合 / 判別 / ECOC / 局所化尤度 / 誤り訂正符号 / 集団学習 / 分類 … More Except Principal Investigator SNP / マイクロアレイ / 機械学習 / 遺伝子発現 / データサイエンス / 効果予測 / パタン認識 / ゲノムデータ / ブースティング / バイオインフォマティクス / 情報転送 / 転移学習 / 多ドメインデータ / 最適輸送 / 最適化 / 機械学修 / 数理統計 / 数理統計学 / AI / 個人化治療 / 符号和統計量 / ブースティング法 / 線形判別 / 2群判別問題 / 特徴ベクトル / Itakura-Saitoダイバージェンス / メタラーニング / ロバストクラスタリング / ガンマ・K-平均 / 群判別問題 / 遺伝子発現データ / ゲノムワイド探索 / ベキエントロピー / 乳がんデータ / クラスター / 一般化平均 / 拡散テンソル画像 / 準線形回帰モデル / 非線形予測 / 表現型予測 / 準線形モデル / 高次元・小標本 / データ異質性 / 遺伝子ランキング / オミクス　データ / ゲノム / 統計数学 / 高次元データ / 国際研究者交流（英国） / 国際研究者交流(英国) / 情報幾何 / 公表バイアス / 国際研究者交流 / 回帰係数の統合 / 多変量メタアナリシス / 回帰モデル / 予測モデル / proteome / protein expression / gene expression / Boosting / statistical inference / machine learning / バイアスモデル / 一塩基多型 / 多重比較 / 自己組織化主成分 / 独立成分分析 / 関数データ解析 / メタアナライシス / プロテオーム / タンパク発現 / 統計推論 / AUCBoost / スパース学習 / 順序カテゴリー / AUC / 予測スコア / 高次元標本 / ROC曲線 / 高次元小標本 / 高次元 / 予測 / t-統計量 / クラスターリング / 乳がんサブタイプ / パターン認識 / 分類 / 仮説検定 / 多値判別 / 仮設検定 / タンパク質 / 情報統計力学 / 画像処理 / 統計力学 / バイオインフォマティックス / 階層モデル推定 / ベイズ推定 Less

非確率モデルを用いた統計的推定の枠組みの構築とヘテロな構造を持つデータへの応用Principal Investigator
- Principal Investigator
  
  竹之内高志
- Project Period (FY)
  2020 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 12040:Applied mathematics and statistics-related
- Research Institution
  National Graduate Institute for Policy Studies
  Future University-Hakodate
Statistical Learning with feature extraction and information integration of High-dimensional, large-scale, multi-domain data
- Principal Investigator
  
  Kanamori Takafumi
- Project Period (FY)
  2019 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 60030:Statistical science-related
- Research Institution
  Tokyo Institute of Technology
Estimation with extended models using generalized divergences and its applicationsPrincipal Investigator
- Principal Investigator
  
  Takenouchi Takashi
- Project Period (FY)
  2016 – 2019
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  Statistical science
- Research Institution
  Future University-Hakodate
Theories and Methodologies for Large Complex Data
- Principal Investigator
  
  AOSHIMA Makoto
- Project Period (FY)
  2015 – 2019
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Research Field
  
  Statistical science
- Research Institution
  University of Tsukuba
Ensemble learning method using structure information and its applicationPrincipal Investigator
- Principal Investigator
  
  Takenouchi Takashi
- Project Period (FY)
  2013 – 2016
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Statistical science
- Research Institution
  Future University-Hakodate
Statistical methodology for stabilizing of the genome-omics data analysis
- Principal Investigator
  
  Egichi Shinto
- Project Period (FY)
  2013 – 2017
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  Statistical science
- Research Institution
  The Institute of Statistical Mathematics
Developing the methodology of meta-analysis from a unified perspective
- Principal Investigator
  
  Henmi Masayuki
- Project Period (FY)
  2012 – 2015
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  Statistical science
- Research Institution
  The Institute of Statistical Mathematics
Analysis and development of ensemble learning algorithms for information fusionPrincipal Investigator
- Principal Investigator
  
  TAKENOUCHI Takashi
- Project Period (FY)
  2009 – 2010
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Statistical science
- Research Institution
  Nara Institute of Science and Technology
Integration of Statistics and Machine Learning for Combining Prediction, Knowledge Discovery and Inference.
- Principal Investigator
  
  EGUCHI Shinto
- Project Period (FY)
  2008 – 2012
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Research Field
  
  Statistical science
- Research Institution
  The Institute of Statistical Mathematics
Development, sophistication and applications of new ensemble learning algorithms based on information theoretic view point.Principal Investigator
- Principal Investigator
  
  TAKENOUCHI Takashi
- Project Period (FY)
  2007 – 2008
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Statistical science
- Research Institution
  Nara Institute of Science and Technology
Reseach for stable bioinformatics method based on hierarchical Bayes inference.
- Principal Investigator
  
  ISHII Shin
- Project Period (FY)
  2006 – 2009
- Research Category
  
  Grant-in-Aid for Scientific Research on Priority Areas
- Review Section
  
  Science and Engineering
- Research Institution
  Kyoto University
  Nara Institute of Science and Technology
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

[Book] Bayesian Inference and Maximum Eentropy Methods in Science and Engineering (MAXENT 2014)2014
- Author(s)
  T Takenouchi, O Komori, S Eguchi.
- Total Pages
  621
- Publisher
  AIP Publishing
- Data Source
  KAKENHI-PROJECT-25280008
[Book] パターン認識(Rで学ぶデータサイエンス5)(単行本)2009
- Author(s)
  金森敬文(著), 竹之内高志(著), 村田昇(著), 金明哲(編集)
- Total Pages
  273
- Publisher
  共立出版
- Data Source
  KAKENHI-PROJECT-21700304
[Journal Article] Outlier-robust parameter estimation for unnormalized statistical models2024
- Author(s)
  Hiroaki Sasaki & Takashi Takenouchi
- Journal Title
  
  Japanese Journal of Statistics and Data Science
  
  Volume: - Issue: 1 Pages: 1-30
- DOI
  10.1007/s42081-023-00237-8
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K03753, KAKENHI-PROJECT-23K28150
[Journal Article] Representation Learning for Maximization of MI, Nonlinear ICA and Nonlinear Subspaces with Robust Density Ratio Estimation.2022
- Author(s)
  H. Sasaki and T. Takenouchi
- Journal Title
  
  Journal of Machine Learning Research
  
  Volume: 23(231)
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K03753
[Journal Article] Improving imbalanced classification using near-miss instances2022
- Author(s)
  Tanimoto Akira、Yamada So、Takenouchi Takashi、Sugiyama Masashi、Kashima Hisashi
- Journal Title
  
  Expert Systems with Applications
  
  Volume: 201 Pages: 117130-117130
- DOI
  10.1016/j.eswa.2022.117130
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K03753, KAKENHI-PROJECT-20H04244
[Journal Article] Statistical modeling of robust non-negative matrix factorization based on γ-divergence and its applications.2019
- Author(s)
  K. Machida, and T. Takenouchi
- Journal Title
  
  Japanese Journal of Statistics and Data Science
  
  Volume: 2 Issue: 2 Pages: 441-464
- DOI
  10.1007/s42081-019-00041-3
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16K00051
[Journal Article] Binary classifiers ensemble based on Bregman divergence for multi-class classification2018
- Author(s)
  T. Takenouchi, and S. Ishii.
- Journal Title
  
  Neurocomputing
  
  Volume: 273(17) Pages: 424-434
- DOI
  10.1016/j.neucom.2017.08.004
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16K00051
[Journal Article] Statistical Inference with Unnormalized Discrete Models and LocalizedHomogeneous Divergences2017
- Author(s)
  Takenouchi, T., Kanamori, T.
- Journal Title
  
  The Journal of Machine Learning Research
  
  Volume: 18 Pages: 1-26
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-15H01678
[Journal Article] Statistical Inference with Unnormalized Discrete Models and Localized Homogeneous Divergences.2017
- Author(s)
  Takashi Takenouchi, and Takafumi Kanamori
- Journal Title
  
  The Journal of Machine Learning Research
  
  Volume: 18 Pages: 1-26
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-16K00051
[Journal Article] Graph-based Composite Local Bregman Divergences on Discrete Sample Spaces2017
- Author(s)
  T. Kanamori, T. Takenouchi
- Journal Title
  
  Neural Networks
  
  Volume: 95 Pages: 44-56
- DOI
  10.1016/j.neunet.2017.06.005
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16K00044, KAKENHI-PROJECT-16K00051, KAKENHI-PROJECT-15H01678, KAKENHI-PROJECT-15H03636
[Journal Article] Binary Classification with a Pseudo Exponential Model and Its Application for Multi-Task Learning.2015
- Author(s)
  Takashi Takenouchi, Osamu Komori and Shinto Eguchi.
- Journal Title
  
  Entropy
  
  Volume: 17 Issue: 8 Pages: 5673-5694
- DOI
  10.3390/e17085673
- Peer Reviewed / Acknowledgement Compliant / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-25730018, KAKENHI-PROJECT-24240042
[Journal Article] A Novel Parameter estimation method for Boltzmann machine.2015
- Author(s)
  Takashi Takenouchi.
- Journal Title
  
  Neural computation
  
  Volume: 27(11) Issue: 11 Pages: 2423-2446
- DOI
  10.1162/neco_a_00781
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-25730018
[Journal Article] Binary classification with pseudo exponential model and its application for multi task learning.2015
- Author(s)
  T. Takenouchi, O. Komori and S. Eguchi.
- Journal Title
  
  Entropy
  
  Volume: 17, 8 Pages: 5673-5694
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-25280008
[Journal Article] An extension of the Receiver Operating Characteristic curve and AUC-optimal classification.2012
- Author(s)
  T. Takenouchi
- Journal Title
  
  Neural Computation
  
  Volume: 24 Pages: 2789-2824
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20240028
[Journal Article] An extension of the Receiver Operating Characteristic curve and AUC-optimal classification2012
- Author(s)
  T. Takenouchi, O. Komori and S. Eguchi
- Journal Title
  
  Neural Computation
  
  Volume: 24, 10 Pages: 2789-2824
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20240028
[Journal Article] Ternary Bradley-Terry model-based decoding for multi-class classification and its extensions.2011
- Author(s)
  T.Takenouchi, S.Ishii
- Journal Title
  
  Machine Learning (in press)
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21700304
[Journal Article] Ternary Bradley-Terry model-based decoding for multi-class classification and its extensions2011
- Author(s)
  T.Takenouchi
- Journal Title
  
  Machine Learning
  
  Volume: (印刷中)
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21700304
[Journal Article] Subsurface imaging by Bayesian super-resolution for anti-personal mine detection using ground penetrating radar.2010
- Author(s)
  S.Kozawa, T.Takenouchi, K.Ikeda.
- Journal Title
  
  Journal of Signal Processing 14(4)
  
  Pages: 297-300
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21700304
[Journal Article] Robust model selection for classification of microarrays.2009
- Author(s)
  I.Suzuki, T.Takenouchi, M.Ohira, S.Oba, S.Ishii.
- Journal Title
  
  Cancer Informatics. 7
  
  Pages: 141-157
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21700304
[Journal Article] A multi-class classification method based on decoding of binary classifiers.2009
- Author(s)
  T. Takenouchi, S. Ishii
- Journal Title
  
  Neural Computation 21(7)
  
  Pages: 2049-2081
- Data Source
  KAKENHI-PROJECT-18079011
[Journal Article] A multi-class classification method based on decoding of binary classifiers.2009
- Author(s)
  T.Takenouchi.
- Journal Title
  
  Neural Computation 21(7)
  
  Pages: 2049-2081
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21700304
[Journal Article] A multi-class classification method based on decoding of binary classifiers2009
- Author(s)
  T. Takenouchi, and S. ishii.
- Journal Title
  
  Neural Computation, in press 21:7(未決定)
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19700264
[Journal Article] A multi-class classification method based on decoding of binary classifiers2009
- Author(s)
  T.Takenouchi, S.Lshii.
- Journal Title
  
  Neural Computation 21(7)
  
  Pages: 2049-2081
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18079011
[Journal Article] A multi-class classification method based on decoding of binary classifiers.2009
- Author(s)
  T.Takenouchi, S.ishii.
- Journal Title
  
  Neural Computation. 21(7)
  
  Pages: 2049-2081
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21700304
[Journal Article] Robust model selection for classification of microarrays2009
- Author(s)
  I.Suzuki, T.Takenouchi, M.Ohira, S.Oba, S.Ishii
- Journal Title
  
  Cancer Informatics 7
  
  Pages: 141-157
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18079011
[Journal Article] Robust model selection for classification of microarrays.2009
- Author(s)
  I, Suzuki, T. Takenouchi, M. Ohira, S, Oba, S. Ishii
- Journal Title
  
  Cancer Informatics 7
  
  Pages: 141-157
- Data Source
  KAKENHI-PROJECT-18079011
[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] Alpha-Bayesian collaboration of multiple predictoxs and its application to hybrid recommendation and user modeling.2008
- Author(s)
  J. Hirayama, M. Nakatomi, T. Takenouchi, S. Ishii
- Journal Title
  
  Neural Information Processing- Letters and Reviews 12(1-3)
  
  Pages: 11-20
- Data Source
  KAKENHI-PROJECT-18079011
[Journal Article] Robust boosting algorithm against mislabeling in multi-class problems2008
- Author(s)
  T. Takenouchi
- Journal Title
  
  To appear in Neural Computaion 20(16)
  
  Pages: 1596-1630
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19700264
[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(16)
  
  Pages: 1596-1630
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19700264
[Journal Article] Boosting Algorithm Against Mislabeling in Multiclass Problems2008
- Author(s)
  T. Takenouchi
- Journal Title
  
  Neural Computation
  
  Volume: 20 Pages: 1596-1630
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20240028
[Journal Article] Ternary Bradley -Terry model-based decoding for multi-class classification.2008
- Author(s)
  T.Takenouchi and S.Ishii
- Journal Title
  
  IEEE International Workshop on Machine Learning for Signal Processing
- Data Source
  KAKENHI-PROJECT-18079011
[Journal Article] Collaborative prediction by multiple Bayesian networks and its application to printer usage modeling.2008
- Author(s)
  J. Hirayama, M. Nakatomi, T. Takenouchi and S. Ishii
- Journal Title
  
  Behaviormetrika 35(2)
  
  Pages: 99-114
- NAID
  110006950237
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19700264
[Journal Article] A probabilistic modeling of MOSAIC learning2008
- Author(s)
  S. Osaga, J. Hirayama, T. Takenouchi and S. Ishii
- Journal Title
  
  Artificial Life and Robotics 12(1-2)
  
  Pages: 167-171
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19700264
[Journal Article] Collaborative prediction by multiple Bayesian networks and its application to Printer usage modeling.2008
- Author(s)
  J. Hirayama, M. Nakatomi, T. Takenouchi, S, Ishii
- Journal Title
  
  Behaviormetrika 35(2)
  
  Pages: 99-114
- NAID
  110006950237
- Data Source
  KAKENHI-PROJECT-18079011
[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] Combining multiple decisions: applications to bioinformatics.2008
- Author(s)
  N. Yukinasva, T. Takenouchi, S. Oba, S. Ishii
- Journal Title
  
  Journal of Physics 95
  
  Pages: 12-18
- Data Source
  KAKENHI-PROJECT-18079011
[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
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20240028
[Journal Article] Combining multiple decisions : applications to bioinformatics.2008
- Author(s)
  N. Yukinawa, T. Takenouchi, S. Oba and S. Ishii
- Journal Title
  
  Journal of Physics : Confenrece Series 95 012018
  
  Pages: 13-13
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19700264
[Journal Article] Robust Boosting Algorithm Against Mislabeling in Multiclass Problems.2008
- Author(s)
  Takenouchi, Takashi
- Journal Title
  
  Neural Computation 20
  
  Pages: 1596-1630
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20240028
[Journal Article] α-Bayesian collaboration of multiple predictors and its applications to hybrid recommendation and user modeling.2008
- Author(s)
  J. Hirayama, M. Nakatomi, T. Takenouchi and S. Ishii
- Journal Title
  
  Neural Information Processing Letters and Reviews 12(1-3)
  
  Pages: 11-20
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19700264
[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] Group Ada Boost : accurate prediction and selection of important genes.2007
- Author(s)
  T. Takenouchi, M. Ushijima, S. Eguchi.
- Journal Title
  
  IPSJ Transactions on Bioinforma tics 3
  
  Pages: 1-8
- NAID
  130000058294
- 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 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 Boosting.2007
- Author(s)
  Kanamori, T., Takenouchi, T., Eguchi, S., and Murata, N.
- Journal Title
  
  Neural Computation 19
  
  Pages: 2183-2244
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19700264
[Journal Article] GroupAdaBoost:accurate prediction and selection of important genes2007
- Author(s)
  T.Takenouchi, M.Ushijima and S.Eguchi
- Journal Title
  
  IPSJ Transactions on Bioinformatics 3
  
  Pages: 1-8
- Description
  「研究成果報告書概要(和文)」より
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16300088
[Journal Article] Parameter Estimation for von Mises-Fisher distributions.2007
- Author(s)
  Tanabe, A., Fukumizu, K., Oba, S., Takenouchi, T., and Ishii, S.
- Journal Title
  
  Computational Statistics 22(1)
  
  Pages: 145-157
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19700264
[Journal Article] A multi-class classification with a probabilistic localized decoder.2007
- Author(s)
  T.Takenouchi and S.Ishii
- Journal Title
  
  IEEE International Symposium on Signal Processing and Information Technology
  
  Pages: 861-865
- Data Source
  KAKENHI-PROJECT-18079011
[Journal Article] Group AdaBoost: accurate prediction and selection of importantgenes2007
- Author(s)
  T. Takenouchi
- Journal Title
  
  IPSJ Transactions on Bioinformatics 48,No.SIG5
  
  Pages: 1-8
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19700264
[Journal Article] GroupAdaBoost : accurate prediction and selection of important genes.2007
- Author(s)
  T.Takenouchi, M.Ushijima, S.Eguchi
- Journal Title
  
  IPSJ Transactions on Bioinformatics 3
  
  Pages: 1-8
- NAID
  130000058294
- Data Source
  KAKENHI-PROJECT-16300088
[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] GroupAdaBoost: accurate prediction and selection of important genes.2007
- Author(s)
  T.Takenouchi, M. Ushijima and S.Eguchi
- Journal Title
  
  IPSJ Transactions on Bioinformatics 3
  
  Pages: 1-8
- NAID
  130000058294
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16300088
[Journal Article] GroupAdaBoost : accurate prediction and selection of important genes2006
- Author(s)
  T.Takenouchi
- Journal Title
  
  IPSJ Transactions on Bioinformatics 48(SIG 5)
  
  Pages: 1-8
- NAID
  130000058294
- Data Source
  KAKENHI-PROJECT-18079011
[Journal Article] GroupAdaBoost for selecting important genes.2005
- Author(s)
  Takenouchi, Takashi, Ushijima, Masaru, Eguchi, Shinto
- Journal Title
  
  IEEE 5th Symposium on Bioinformatics and Bioengineering
  
  Pages: 218-221
- Data Source
  KAKENHI-PROJECT-16300088
[Journal Article] GroupAdaBoost for selecting important genes2005
- Author(s)
  Takenouchi, Takashi, Ushijima, Masaru and Eguchi, Shinto
- Journal Title
  
  IEEE 5th Symposium on Bioinformatics and Bioengineering 1
  
  Pages: 218-221
- 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 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)
  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] Robustifying AdaBoost by adding the naive error rate.2004
- Author(s)
  T. Takenouchi, S. Eguchi.
- Journal Title
  
  Neural Computation 16
  
  Pages: 767-787
- Description
  「研究成果報告書概要(欧文)」より
- 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] Robustifying AdaBoost by adding the naive error rate2004
- Author(s)
  Takenouchi, T.(The Institute of Statistical Mathematics), Eguchi, S.(The Institute of Statistical Mathematics)
- Journal Title
  
  Neural Computation vol.16
  
  Pages: 767-787
- Data Source
  KAKENHI-PROJECT-16300088
[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] 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] Robustifying AdaBoost by adding the naive error rate2004
- Author(s)
  Takenouchi, T and Eguchi, S.
- Journal Title
  
  Neural Computation 16
  
  Pages: 767-787
- Description
  「研究成果報告書概要(和文)」より
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16300088
[Journal Article] A multi-class classification method based on decoding of binary classifiers.
- Author(s)
  T. Takenouchi
- Journal Title
  
  Neural Comutation (in press)
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19700264
[Presentation] スキップコネクション付きニューラルネットワークの理論解析.2021
- Author(s)
  和田孝喜, 竹之内高志.
- Organizer
  第24回情報論的学習理論ワークショップ (IBIS2021).
- Data Source
  KAKENHI-PROJECT-20K03753
[Presentation] Lower-Bounded Proper Losses for Weakly Supervised Classification.2021
- Author(s)
  Shuhei M Yoshida, Takashi Takenouchi, Masashi Sugiyama.
- Organizer
  Proceedings of the 38th International Conference on Machine Learning
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K03753
[Presentation] Lower-Bounded Proper Losses for Weakly Supervised Classification2021
- Author(s)
  吉田周平, 竹之内高志, 杉山将
- Organizer
  第24回情報論的学習理論ワークショップ (IBIS2021).
- Data Source
  KAKENHI-PROJECT-20K03753
[Presentation] Causal Combinatorial Factorization Machines for Set-wise Recommendation2021
- Author(s)
  Akira Tanimoto, Tomoya Sakai, Takashi Takenouchi, Hisashi Kashima.
- Organizer
  Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K03753
[Presentation] Regret Minimization for Causal Inference on Large Treatment Space2020
- Author(s)
  Akira Tanimoto, Tomoya Sakai, Takashi Takenouchi, Hisashi Kashima.
- Organizer
  International Conference on Artificial Intelligence and Statistics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K03753
[Presentation] 組合せ的行動空間におけるアウトカム予測2020
- Author(s)
  谷本啓，坂井智哉，竹之内高志，鹿島久嗣
- Organizer
  人工知能学会
- Data Source
  KAKENHI-PROJECT-20K03753
[Presentation] Robust contrastive learning and nonlinear ICA in the presence of outliers2020
- Author(s)
  Hiroaki Sasaki, Takashi Takenouchi, Ricardo Monti, Aapo Hyvarinen
- Organizer
  Uncertainty in Artificial Intelligence (UAI)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K03753
[Presentation] A Unified Statistically Efficient Estimation Framework for Unnormalized Models2020
- Author(s)
  M. Uehara, T. Kanamori, T. Takenouchi, T. Matsuda,
- Organizer
  The 23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H04071
[Presentation] Zero-shot Domain Adaptation Based on Attribute Information2019
- Author(s)
  M. Ishii, T. Takenouchi, and M. Sugiyama
- Organizer
  The Eleventh Asian Conference on Machine Learning
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K00051
[Presentation] Robust contrastive learning and nonlinear ICA in the presence of outliers2019
- Author(s)
  佐々木博昭, 竹之内高志, R. Monti, A. Hyvarinen
- Organizer
  情報論的学習理論ワークショップ(IBIS2019)
- Data Source
  KAKENHI-PROJECT-16K00051
[Presentation] Causal Outcome Prediction on Combinatorial Action Spaces2019
- Author(s)
  谷本啓, 坂井智哉, 竹之内高志, 鹿島久嗣
- Organizer
  情報論的学習理論ワークショップ(IBIS2019)
- Data Source
  KAKENHI-PROJECT-16K00051
[Presentation] 非正規化モデルを用いた推定量とその性質2019
- Author(s)
  竹之内高志
- Organizer
  応用統計学会
- Invited
- Data Source
  KAKENHI-PROJECT-16K00051
[Presentation] Parameter Estimation with Generalized Empirical Localization.2019
- Author(s)
  T. Takenouchi.
- Organizer
  Geometric Science of Information
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K00051
[Presentation] Relaxing Imbalance with Positiveness2018
- Author(s)
  谷本啓, 山田聡,竹之内高志,鹿島久嗣.
- Organizer
  第 21 回情報論的学習理論ワークショップ(IBIS2018)
- Data Source
  KAKENHI-PROJECT-16K00051
[Presentation] 非正規化モデルを用いた推定法.2018
- Author(s)
  竹之内高志
- Organizer
  大規模複雑データの理論と方法総合的研究
- Data Source
  KAKENHI-PROJECT-16K00051
[Presentation] 異なるモデルの尤度関数の結合2018
- Author(s)
  江口真透, 竹之内高志
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-16K00051
[Presentation] 変形ブレグマン擬距離とその応用2016
- Author(s)
  竹之内高志
- 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(京都府京都市)
- Data Source
  KAKENHI-PROJECT-25730018
[Presentation] 変形ブレグマンダイバージェンスを用いたパラメーター推定2016
- Author(s)
  竹之内高志
- Organizer
  2016年度統計関連学会連合大会
- Place of Presentation
  金沢大学角間キャンパス(石川県金沢市)
- Data Source
  KAKENHI-PROJECT-25730018
[Presentation] 離散空間上のグラフ構造に基づく局所ブレグマンダイバージェンス2016
- Author(s)
  金森敬文, 竹之内高志
- Organizer
  2016年度統計関連学会連合大会
- Place of Presentation
  金沢大学角間キャンパス(石川県金沢市)
- Data Source
  KAKENHI-PROJECT-16K00051
[Presentation] グラフ上の局所ブレグマンダイバージェンスによる統計的推論2016
- Author(s)
  金森敬文, 竹之内高志
- 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(京都府京都市)
- Data Source
  KAKENHI-PROJECT-16K00051
[Presentation] Parameter estimation with Unnormalized model and Homogeneous divergence2016
- Author(s)
  Takashi Takenouchi
- Organizer
  Probabilistic Graphical Model Workshop: Sparsity, Structure and High-dimensionality
- Place of Presentation
  統計数理研究所(東京都立川市)
- Year and Date
  2016-03-25
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-25730018
[Presentation] 離散空間上のグラフ構造に基づく局所ブレグマンダイバージェンス2016
- Author(s)
  金森敬文, 竹之内高志
- Organizer
  2016年度統計関連学会連合大会
- Place of Presentation
  金沢大学角間キャンパス(石川県金沢市)
- Data Source
  KAKENHI-PROJECT-25730018
[Presentation] グラフ上の局所ブレグマンダイバージェンスによる統計的推論2016
- Author(s)
  金森敬文, 竹之内高志
- 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(京都府京都市)
- Data Source
  KAKENHI-PROJECT-25730018
[Presentation] Parameter Estimation with Deformed Bregman Divergence2016
- Author(s)
  竹之内高志
- Organizer
  Information Geometry and its Applications IV
- Place of Presentation
  Liblice, Czech Republic
- Year and Date
  2016-06-13
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-25730018
[Presentation] 変形ブレグマン擬距離とその応用2016
- Author(s)
  竹之内高志
- 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(京都府京都市)
- Data Source
  KAKENHI-PROJECT-16K00051
[Presentation] 変形ブレグマンダイバージェンスを用いたパラメーター推定2016
- Author(s)
  竹之内高志
- Organizer
  2016年度統計関連学会連合大会
- Place of Presentation
  金沢大学角間キャンパス(石川県金沢市)
- Data Source
  KAKENHI-PROJECT-16K00051
[Presentation] Parameter Estimation with Deformed Bregman Divergence2016
- Author(s)
  竹之内高志
- Organizer
  Information Geometry and its Applications IV
- Place of Presentation
  Liblice, Czech Republic
- Year and Date
  2016-06-13
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K00051
[Presentation] Empirical Localization of Homogeneous Divergences on Discrete Sample Spaces2015
- Author(s)
  T. Takenouchi and T. Kanamori
- Organizer
  Neural Information Processing Systems, 2015.
- Place of Presentation
  Canada, Montreal
- Year and Date
  2015-12-09
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-25730018
[Presentation] 同次ダイバージェンスとその応用2015
- Author(s)
  竹之内高志, 金森敬文.
- Organizer
  第18回情報論的学習理論ワークショップ (IBIS2015)
- Place of Presentation
  つくば国際会議場(茨城県つくば市)
- Year and Date
  2015-11-27
- Data Source
  KAKENHI-PROJECT-25730018
[Presentation] Non-negative Matrix Factorization based on Gamma-Divergence2015
- Author(s)
  K. Machida and T. Takenouchi.
- Organizer
  International Joint Conference on Neural Networks (IJCNN)
- Place of Presentation
  Ireland, Killarney
- Year and Date
  2015-07-14
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-25730018
[Presentation] 同次ダイバージェンスを用いた離散空間上の確率モデルのパラメーター推定.2015
- Author(s)
  竹之内高志, 金森敬文.
- Organizer
  2015年度統計関連学会連合大会連合大会.
- Place of Presentation
  岡山大学津島キャンパス(岡山県岡山市)
- Year and Date
  2015-09-07
- Data Source
  KAKENHI-PROJECT-25730018
[Presentation] A novel boosting algorithm for multi-task learning based on the itakura-saito divergence.2014
- Author(s)
  Takashi Takenouchi, Osamu Komori, and Shinto Eguchi.
- Organizer
  BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING (MAXENT 2014)
- Place of Presentation
  Amboise, France
- Year and Date
  2014-09-25
- Data Source
  KAKENHI-PROJECT-25730018
[Presentation] A novel boosting algorithm for multi-task learning based on the Itakuda-Saito divergence.2014
- Author(s)
  Takenouchi T. Komori O, Eguchi S.
- Organizer
  34th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
- Place of Presentation
  Amboise France
- Year and Date
  2014-09-23
- Data Source
  KAKENHI-PROJECT-25280008
[Presentation] αダイバージェンスを用いたボルツマンマシンのパラメーター推定2014
- Author(s)
  竹之内高志
- Organizer
  第17回情報論的学習理論ワークショップ(IBIS2014)
- Place of Presentation
  名古屋大学（名古屋市）
- Year and Date
  2014-11-17
- Data Source
  KAKENHI-PROJECT-25730018
[Presentation] γダイバージェンスを用いた非負値行列因子分解2014
- Author(s)
  町田浩平, 竹之内高志
- Organizer
  情報処理北海道シンポジウム 2014
- Place of Presentation
  はこだて未来大学（函館市）
- Year and Date
  2014-06-07
- Data Source
  KAKENHI-PROJECT-25730018
[Presentation] 正規化項の計算を必要としないボルツマンマシンのパラメーター推定法2013
- Author(s)
  竹之内高志
- Organizer
  第16回情報論的学習理論ワークショップ(IBIS2013)
- Place of Presentation
  東京工業大学
- Data Source
  KAKENHI-PROJECT-25730018
[Presentation] Theoretical analysis of Cross-Validation(CV)-EM algorithm.2010
- Author(s)
  T.Takenouchi
- Organizer
  20th International Conference on Artificial Neural Networks (ICANN 2010).
- Place of Presentation
  ギリシャ(テッサロニキ)
- Year and Date
  2010-09-18
- Data Source
  KAKENHI-PROJECT-21700304
[Presentation] Bayesian decoder for multi-class classification by mixture of divergence.2010
- Author(s)
  T.Takenouchi.
- Organizer
  Information Geometry and its Applications III, 2010.
- Place of Presentation
  ドイツ,ライプチヒ
- Year and Date
  2010-08-05
- Data Source
  KAKENHI-PROJECT-21700304
[Presentation] 混合モデルによる行列因子化法の拡張とその応用2010
- Author(s)
  竹之内高志
- Organizer
  第54回システム制御情報学会研究発表講演会(SCI'10)
- Place of Presentation
  京都
- Year and Date
  2010-05-20
- Data Source
  KAKENHI-PROJECT-21700304
[Presentation] Theoretical analysis of Cross-Validation(CV)-EM algorithm.2010
- Author(s)
  T.Takenouchi.
- Organizer
  20th International Conference on Artificial Neural Networks (ICANN 2010)
- Place of Presentation
  ギリシャ,テッサロニキ.
- Year and Date
  2010-09-18
- Data Source
  KAKENHI-PROJECT-21700304
[Presentation] 混合モデルによる行列因子化法の拡張とその応用2010
- Author(s)
  竹之内高志
- Organizer
  第54回システム制御情報学会研究発表講演会(SCI'10)
- Place of Presentation
  京都(京都市)
- Year and Date
  2010-05-20
- Data Source
  KAKENHI-PROJECT-21700304
[Presentation] Bayesian decoder for multi-class classification by mixture of divergence.2010
- Author(s)
  T.Takenouchi
- Organizer
  Information Geometry and its Applications III, 2010.
- Place of Presentation
  ドイツ(ライプチヒ)
- Year and Date
  2010-08-05
- Data Source
  KAKENHI-PROJECT-21700304
[Presentation] Robust classi.cation with mislabeling model.2009
- Author(s)
  T.Takenouchi.
- Organizer
  Mathematical Aspects of Generalized Entropies and their Applications, RIMS workshop, 2009.
- Place of Presentation
  京都
- Year and Date
  2009-07-08
- Data Source
  KAKENHI-PROJECT-21700304
[Presentation] Extension of ROC curve.2009
- Author(s)
  T.Takenouchi.
- Organizer
  IEEE International Workshop on Machine Learning For Signal Processing, 2009.
- Place of Presentation
  フランス,グルノーブル
- Year and Date
  2009-08-04
- Data Source
  KAKENHI-PROJECT-21700304
[Presentation] ECOCに基づく多値判別法とその拡張2009
- Author(s)
  竹之内高志
- Organizer
  大阪市立大学数学研究所情報幾何研究集会2009 (OCAMI meeting on "Information Geometry 2009")
- Place of Presentation
  大阪市立大
- Year and Date
  2009-01-25
- Data Source
  KAKENHI-PROJECT-19700264
[Presentation] A multi-class classification by ECOC ensemble and its extension2009
- Author(s)
  Takashi Takenouchi
- Organizer
  2009年度統計関連学会連合大会
- Place of Presentation
  同志社大学
- Year and Date
  2009-09-07
- Data Source
  KAKENHI-PROJECT-21700304
[Presentation] ECOCに基づく多値判別法とその拡張2009
- Author(s)
  竹之内高志
- Organizer
  大阪市立大学数学研究所情報幾何研究集会2009(OCAMI meeting on "Information Geometry 2009")
- Place of Presentation
  大阪市立大
- Year and Date
  2009-01-25
- Data Source
  KAKENHI-PROJECT-19700264
[Presentation] Robust classification with mislabeling model.2009
- Author(s)
  T.Takenouchi
- Organizer
  Mathematical Aspects of Generalized Entropies and their Applications
- Place of Presentation
  Kyoto, Japan
- Year and Date
  2009-07-08
- Data Source
  KAKENHI-PROJECT-21700304
[Presentation] A multi-class classification by ECOC ensemble and its extension2009
- Author(s)
  Takashi Takenouchi.
- Organizer
  2009年度統計関連学会連合大会(p.127)
- Place of Presentation
  同志社大学
- Year and Date
  2009-09-07
- Data Source
  KAKENHI-PROJECT-21700304
[Presentation] Ternary Bradley-Terry model-based decoding for multi-class classification2008
- Author(s)
  T. Takenouchi
- Organizer
  IEEE International Workshop on Machine Learning for Signal Processing (MLSP)
- Place of Presentation
  カンクン(メキシコ)
- Year and Date
  2008-10-18
- Data Source
  KAKENHI-PROJECT-18079011
[Presentation] Ternary Bradley-Terry model-based decoding for multi-class classification2008
- Author(s)
  T. Takenouchi
- Organizer
  IEEE International Workshop on Machine Learning For Signal Processing
- Place of Presentation
  Cancun, Mexico
- Year and Date
  2008-10-18
- Data Source
  KAKENHI-PROJECT-19700264
[Presentation] Ternary Bradley-Terry model-based decoding for multi-class classification.2008
- Author(s)
  T. Takenouchi, S. Ishii
- Organizer
  IEEE International Workshop on Machine Learning for Signal Processing MLSP
- Data Source
  KAKENHI-PROJECT-18079011
[Presentation] ブースティングによるパターン識別2008
- Author(s)
  竹之内高志
- Organizer
  日本鉄鋼協会秋季講演大会
- Place of Presentation
  熊本大学
- Year and Date
  2008-09-24
- Data Source
  KAKENHI-PROJECT-19700264
[Presentation] A unified approach to collaborative and feature-based recommendation based on probabilistic latent semantic models.2008
- Author(s)
  A. Ishihara, J. Hirayama, T. Takenouchi, S. Ishii
- Organizer
  Proceedings of the Thirteenth International Symposium on Artificial Life and Robotics
- Data Source
  KAKENHI-PROJECT-18079011
[Presentation] Ternary Bradley-Terry model-based decoding for multi-class classification.2008
- Author(s)
  T. Takenouchi
- Organizer
  IEEE International Workshop on Machine Learning For Signal Processing
- Place of Presentation
  Cancun, Mexico
- Year and Date
  2008-10-18
- Data Source
  KAKENHI-PROJECT-19700264
[Presentation] ECOCに基づく多値判別法の局所化2007
- Author(s)
  竹之内高志
- Organizer
  2007年度統計関連学会連合大会
- Place of Presentation
  神戸大学
- Year and Date
  2007-09-08
- Data Source
  KAKENHI-PROJECT-19700264
[Presentation] Multiclass classification as a decoding problem.2007
- Author(s)
  T. Takenouchi
- Organizer
  The First IEEE Symposium on Foundations of Computational Intelligence (FOCI'07)
- Place of Presentation
  Hawaii, USA.
- Year and Date
  2007-04-04
- Data Source
  KAKENHI-PROJECT-19700264
[Presentation] Mislabel modeling for multi-class prediction2007
- Author(s)
  竹之内高志, 江口真透
- Organizer
  統計関連学会
- Place of Presentation
  神戸大学
- Year and Date
  2007-09-07
- Description
  「研究成果報告書概要(和文)」より
- Data Source
  KAKENHI-PROJECT-16300088
[Presentation] A probabilistic decoding approach to multi-class classification.2007
- Author(s)
  T. Takenouchi
- Organizer
  Interantional Joint Conference on Neural Networks (IJCNN)
- Place of Presentation
  Orlando, Florida, USA.
- Year and Date
  2007-08-14
- Data Source
  KAKENHI-PROJECT-19700264
[Presentation] A probabilistic decoding approach to multi-class classiffcation2007
- Author(s)
  T. Takenouchi
- Organizer
  Interantional Joint Conference on Neural Networks(IJCNN)
- Place of Presentation
  Orlando, Florida
- Year and Date
  2007-08-14
- Data Source
  KAKENHI-PROJECT-19700264
[Presentation] A probabilistic decoding approach to multi-class classification.2007
- Author(s)
  T. Takenouchi, S. Ishii
- Organizer
  International Joint Conference on Neural Networks
- Data Source
  KAKENHI-PROJECT-18079011
[Presentation] マルチクラスの判別問題におけるミスラベルのモデリング.2007
- Author(s)
  竹之内高志・江口真透
- Organizer
  統計関連学会
- Place of Presentation
  神戸大学
- Year and Date
  2007-09-07
- Data Source
  KAKENHI-PROJECT-16300088
[Presentation] A multi-class classification with a probabilistic localized decoder2007
- Author(s)
  T. Takenouchi
- Organizer
  IEEE International Symposium on Signal Processing and Information Technology
- Place of Presentation
  Cairo, Egypt
- Year and Date
  2007-12-17
- Data Source
  KAKENHI-PROJECT-19700264
[Presentation] A multi-class classification with a probabilistic localized decoder2007
- Author(s)
  T.Takenouchi
- Organizer
  IEEE International Symposium on Signal Processing and Information Technology
- Place of Presentation
  Cairo, Egypt
- Year and Date
  2007-12-15
- Data Source
  KAKENHI-PROJECT-18079011
[Presentation] Multiclass classification as a decoding problem2007
- Author(s)
  T.Takenouchi
- Organizer
  IEEE Symposium on Foundations of Computational Intelligence
- Place of Presentation
  Hawaii, USA
- Year and Date
  2007-04-01
- Data Source
  KAKENHI-PROJECT-18079011
[Presentation] A multi-class classification with a probabilistic localized decoder.2007
- Author(s)
  T. Takenouchi
- Organizer
  IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)
- Place of Presentation
  Cairo, Egypt
- Year and Date
  2007-12-17
- Data Source
  KAKENHI-PROJECT-19700264
[Presentation] Bayesian collaborative predictors for general user modeling.2007
- Author(s)
  J. Hirayama, M. Nakatomi, T. Takenouchi, S. Ishii
- Organizer
  International Conference on Neural Information Processing
- Data Source
  KAKENHI-PROJECT-18079011
[Presentation] A multi-class classification with a probabilistic localized decoder.2007
- Author(s)
  T. Takenouchi, S. Ishii
- Organizer
  IEEE International Symposium on Signal Processing and Information Technology
- Data Source
  KAKENHI-PROJECT-18079011
[Presentation] Combining multiple decisions: applications to bioinformatics.2007
- Author(s)
  S. Ishii, N. Yukinawa, T. Takenouchi, S. Oba
- Organizer
  The International Workshop on Statistical-Mechanical Informatics
- Data Source
  KAKENHI-PROJECT-18079011
[Presentation] Multiclass classification as a decoding problem.2007
- Author(s)
  T. Takenouchi
- Organizer
  The First IEEE Symposium on Foundationsof Computational Intelligence (FOCI'07),
- Place of Presentation
  Hawaii, USA
- Year and Date
  2007-04-04
- Data Source
  KAKENHI-PROJECT-19700264

1. HENMI Masayuki (80465921)

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2. EGUCHI Shinto (10168776)

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Takenouchi Takashi 竹之内 高志

TAKENOUCHI Takashi 竹之内 高志

Research Projects

Research Products

Co-Researchers

非確率モデルを用いた統計的推定の枠組みの構築とヘテロな構造を持つデータへの応用Principal Investigator

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Statistical Learning with feature extraction and information integration of High-dimensional, large-scale, multi-domain data

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Estimation with extended models using generalized divergences and its applicationsPrincipal Investigator

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Theories and Methodologies for Large Complex Data

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Ensemble learning method using structure information and its applicationPrincipal Investigator

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Statistical methodology for stabilizing of the genome-omics data analysis

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Developing the methodology of meta-analysis from a unified perspective

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Analysis and development of ensemble learning algorithms for information fusionPrincipal Investigator

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Integration of Statistics and Machine Learning for Combining Prediction, Knowledge Discovery and Inference.

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Development, sophistication and applications of new ensemble learning algorithms based on information theoretic view point.Principal Investigator

Principal Investigator

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Reseach for stable bioinformatics method based on hierarchical Bayes inference.

Principal Investigator

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New statistical methodology for genome diversity analysis

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[Book] Bayesian Inference and Maximum Eentropy Methods in Science and Engineering (MAXENT 2014)2014

Author(s)

Total Pages

Takenouchi Takashi 竹之内高志

TAKENOUCHI Takashi 竹之内高志