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Komori Osamu  小森 理

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KOMORI Osamu  小森 理

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Researcher Number 60586379
Other IDs
Affiliation (Current) 2025: 成蹊大学, 理工学部, 教授
Affiliation (based on the past Project Information) *help 2017 – 2024: 成蹊大学, 理工学部, 准教授
2023: 成蹊大学, 理工学部, 教授
2017: 福井大学, 学術研究院工学系部門, 講師
2016: 福井大学, 学術研究院工学系部門, 特命講師
2015 – 2016: 福井大学, 工学(系)研究科(研究院), その他 … More
2015: 福井大学, 工学(系)研究科(研究院), 特命講師
2013 – 2014: 統計数理研究所, 大学共同利用機関等の部局等, その他
2013: 統計数理研究所, 大学共同利用機関等の部局等, 特任助教
2012: 統計数理研究所, その他部局等, その他
2012: 統計数理研究所, 統計思考院, 特任助教
2011 – 2012: 統計数理研究所, 統計思考院, 研究員
2011: 統計数理研究所, 数理・推論研究系, 助教
2010: 統計数理研究所, 予測発見戦略センター, 特任研究員 Less
Review Section/Research Field
Principal Investigator
Basic Section 60030:Statistical science-related / Statistical science
Except Principal Investigator
Statistical science / Basic Section 60030:Statistical science-related / Medium-sized Section 60:Information science, computer engineering, and related fields / Sections That Are Subject to Joint Review: Basic Section60030:Statistical science-related , Basic Section61030:Intelligent informatics-related / Basic Section 61030:Intelligent informatics-related / Basic Section 12040:Applied mathematics and statistics-related / Statistical science
Keywords
Principal Investigator
医療統計 / 生物多様性保全 / Maxent / 生物多様性解析 / 計算効率 / 生物多様性予測 / びまん性肺疾患 / 可視化 / 臨床データ解析 / データ融合 … More / 準線形モデル / 機械学習 / evidence-based medicine / 準線形モデリング / アンサンブル学習 / 転移学習 / 深層学習 / 肺疾患データ解析 / 統計手法構築 / データベース構築 / 統計解析 / データベース / 健診データ / データ処理 … More
Except Principal Investigator
機械学習 / 深層学習 / 個別化医療 / 高次元データ / 統計学 / データサイエンス / 統計科学 / データ解析 / 統計 / 一般化平均 / 準線形モデル / 効果予測 / マイクロアレイ / 高次元小標本 / 高次元 / 遺伝子発現 / 遺伝子 / バイオインフォマティクス / 予測問題 / セミパラメトリック / ノンパラメトリック / 多変量解析 / 関数推定 / 小標本 / 予測解析 / 臨床研究 / 選択的推論 / 因果推論 / 高次元統計解析 / 時空間データ / 人工知能 / 疫学 / 人口知能 / オミックス データ / マルチモーダル / 南雲平均 / コルモゴロフ / 混合化効果モデル / クラスター分析 / 最適治療 / メタ解析 / 混合モデル / ポアソン点過程 / 幾何平均・算術平均 / パレート分布 / クラスタリング / メタアナリシス / 生存解析 / 混合効果モデル / コピュラ関数 / 種の分布モデル / 情報幾何 / 動的治療計画 / メタアナライシス / ゲノム / 統計数学 / 生物統計学 / 数理工学 / 疾患の遺伝的異質性 / 疾患異質性 / 統計的判別解析 / 階層混合モデル / 判別解析 / 構造推定 / 統計モデリング / 疾患の異質性 / 判別・予測解析 / ビッグデータ / オミクスデータ / 不均一性 / バイオマーカー / オミックスデータ / 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 / 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 / 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 / AUCBoost / スパース学習 / SNP / 順序カテゴリー / AUC / 予測スコア / 高次元標本 / ROC曲線 / パタン認識 / 予測 / ゲノムデータ / t-統計量 / クラスターリング / ブースティング / 乳がんサブタイプ / パターン認識 / 分類 Less
  • Research Projects

    (14 results)
  • Research Products

    (120 results)
  • Co-Researchers

    (57 People)
  •  Deepening and Expanding Research for Efficient Methods of Function Estimation in High Dimensional Statistical Analysis

    • Principal Investigator
      内藤 貫太
    • Project Period (FY)
      2023 – 2026
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 60030:Statistical science-related
      Basic Section 61030:Intelligent informatics-related
      Sections That Are Subject to Joint Review: Basic Section60030:Statistical science-related , Basic Section61030:Intelligent informatics-related
    • Research Institution
      Tohoku University
      Chiba University
  •  Use of deep learning and development of statistical prediction result evaluation methods for the acceleration of personalized medicine

    • Principal Investigator
      松浦 正明
    • Project Period (FY)
      2023 – 2025
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 60030:Statistical science-related
    • Research Institution
      Teikyo University
  •  Dynamic β-Maxentによる生物多様性予測とそのアプリケーション実装Principal Investigator

    • Principal Investigator
      小森 理
    • Project Period (FY)
      2022 – 2026
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 60030:Statistical science-related
    • Research Institution
      Seikei University
  •  個別化医療の適応的臨床研究を支える統計・機械学習法に関する研究

    • Principal Investigator
      松井 茂之
    • Project Period (FY)
      2021 – 2024
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Review Section
      Medium-sized Section 60:Information science, computer engineering, and related fields
    • Research Institution
      Nagoya University
  •  Innovative Developments of Theories and Methodologies for Large Complex Data

    • Principal Investigator
      青嶋 誠
    • Project Period (FY)
      2020 – 2024
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Review Section
      Medium-sized Section 60:Information science, computer engineering, and related fields
    • Research Institution
      University of Tsukuba
  •  Development of statistical evaluation method for artificial intelligence and deep learning for personalized medicine

    • Principal Investigator
      Matsuura Masaaki
    • Project Period (FY)
      2019 – 2021
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 12040:Applied mathematics and statistics-related
    • Research Institution
      Teikyo University
  •  Establishment of diagnosis of diffuse lung diseases based on a data-integrated deep learning methodPrincipal Investigator

    • Principal Investigator
      Komori Osamu
    • Project Period (FY)
      2018 – 2021
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 60030:Statistical science-related
    • Research Institution
      Seikei University
  •  Developments and applications of statistical prediction method

    • Principal Investigator
      Eguchi Shinto
    • Project Period (FY)
      2018 – 2022
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 60030:Statistical science-related
    • Research Institution
      The Institute of Statistical Mathematics
  •  A new framework of discrimination analysis for high-dimensional data based on estimation of data structure

    • Principal Investigator
      Matsui Shigeyuki
    • Project Period (FY)
      2016 – 2018
    • Research Category
      Grant-in-Aid for Challenging Exploratory Research
    • Research Field
      Statistical science
    • Research Institution
      Nagoya University
  •  Development of statistical methods based on omics data for realizing predictive medicine

    • Principal Investigator
      Matsuura Masaaki
    • Project Period (FY)
      2015 – 2018
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Statistical science
    • Research Institution
      Teikyo University
  •  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
  •  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
  •  Formulation of antarctic-related database and its data analysisPrincipal Investigator

    • Principal Investigator
      KOMORI Osamu
    • Project Period (FY)
      2011 – 2012
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Statistical science
    • Research Institution
      The Institute of Statistical Mathematics
  •  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

All 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 Other

All Journal Article Presentation Book

  • [Book] Minimum divergence method in statistical machine learning: From an information geometric viewpoint2022

    • Author(s)
      Eguchi S, Komori O
    • Total Pages
      221
    • Publisher
      Springer
    • ISBN
      9784431569220
    • Data Source
      KAKENHI-PROJECT-21H04874
  • [Book] Minimum Divergence Methods in Statistical Machine Learning: From an Information Geometric Viewpoint2022

    • Author(s)
      Shinto Eguchi, Osamu Komori
    • Total Pages
      221
    • Publisher
      Springer Nature
    • ISBN
      9784431569220
    • Data Source
      KAKENHI-PROJECT-18H03211
  • [Book] Statistical Methods for Imbalanced Data in Ecological and Biological Studies2019

    • Author(s)
      Komori, O., & Eguchi, S.
    • Total Pages
      55
    • Publisher
      Springer
    • ISBN
      9784431555698
    • Data Source
      KAKENHI-PROJECT-18H03211
  • [Book] Computational Information Geometry2017

    • Author(s)
      Eguchi, S., A. Notsu, O. Komori
    • Total Pages
      21
    • Publisher
      Springer International Publishing
    • ISBN
      9783319470580
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Book] Spontaneous Learning for Data Distributions via Minimum Divergence2017

    • Author(s)
      Eguchi, S., A. Notsu, O. Komori
    • Total Pages
      299
    • Publisher
      Springer International Publishing
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Book] Spontaneous learning for data distributions via minimum divergence. In Computational Information Geometry in Signal and Image Processing,2016

    • Author(s)
      S. Eguchi, A. Notsu and O. Komori
    • Publisher
      Springer
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Book] Design and Analysis of Clinical Trials for Predictive Medicine.2015

    • Author(s)
      Osamu Komori and Shinto Eguchi
    • Total Pages
      400
    • Publisher
      Chapman & Hall/CRC
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Book] Path Connectedness on a Space of Probability Density Functions. In Geometric Science of Information 20152015

    • Author(s)
      Eguchi, S.and Komori, O.
    • Total Pages
      790
    • Publisher
      Springer International Publishing.
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Book] Statistical and machine-learning methods for class prediction in high dimension. Design and Analysis of Clinical Trials for Predictive Medicine.2015

    • Author(s)
      O.Komori and S.Eguchi.
    • Total Pages
      400
    • Publisher
      Chapman Hall/CRC
    • Data Source
      KAKENHI-PROJECT-25280008
  • [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] Bayesian Inference and Maximum Eentropy Methods in Science and Engineering (MAXENT 2014)2014

    • Author(s)
      S Eguchi, O Komori, A Ohara.
    • Total Pages
      621
    • Publisher
      AIP Publishing
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Book] 南極観測隊データベースの進捗報告と今後の計画(共同研究レポート)2012

    • Author(s)
      小森理, 他
    • Publisher
      統計数理研究所
    • Data Source
      KAKENHI-PROJECT-23700347
  • [Journal Article] Regularization learning of trace element contamination stemmed from tailings dam-break. Pollution2023

    • Author(s)
      Tutmez B, Komori O
    • Journal Title

      Pollution

      Volume: -

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21H04874
  • [Journal Article] Statistical learning for species distribution models in ecological studies2023

    • Author(s)
      Komori Osamu、Saigusa Yusuke、Eguchi Shinto
    • Journal Title

      Japanese Journal of Statistics and Data Science

      Volume: 6 Issue: 2 Pages: 803-826

    • DOI

      10.1007/s42081-023-00206-1

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K11938, KAKENHI-PROJECT-21H04874
  • [Journal Article] Generalized quasi-linear mixed-effects model2022

    • Author(s)
      Yusuke Saigusa, Shinto Eguchi, Osamu Komori
    • Journal Title

      Statistical Methods in Medical Research

      Volume: Online Published Issue: 7 Pages: 1280-1291

    • DOI

      10.1177/09622802221085864

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K19759, KAKENHI-PROJECT-18H03211
  • [Journal Article] A Unified Formulation of k-Means, Fuzzy c-Means and Gaussian Mixture Model by the Kolmogorov-Nagumo Average2021

    • Author(s)
      Osamu Komori and Shinto Eguchi
    • Journal Title

      Entropy

      Volume: 23 Issue: 5 Pages: 1-21

    • DOI

      10.3390/e23050518

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K11190, KAKENHI-PROJECT-20H00576, KAKENHI-PROJECT-18H03211
  • [Journal Article] Sampling bias correction in species distribution models by quasi-linear Poisson point process2020

    • Author(s)
      Komori, O., Eguchi, S., Saigusa, Y., Kusumoto, B. and Kubota, Y.
    • Journal Title

      Ecological Informatics

      Volume: 55 Pages: 1-11

    • DOI

      10.1016/j.ecoinf.2019.101015

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03211
  • [Journal Article] Development of novel diagnostic system for pancreatic cancer, including early stages, measuring mRNA of whole blood cells2019

    • Author(s)
      Sakai Yoshio、Honda Masao、Matsui Shigeyuki、Komori Osamu、Murayama Toshinori、Fujiwara Tadami、Mizuno Masaaki、Imai Yasuhito、Yoshimura Kenichi、Nasti Alessandro、Wada Takashi、Iida Noriho、Kitahara Masaaki、Horii Rika、Toshikatsu Tamai、Nishikawa Masashi、Okafuji Hirofumi、Mizukoshi Eishiro、et al
    • Journal Title

      Cancer Science

      Volume: 110 Issue: 4 Pages: 1364-1388

    • DOI

      10.1111/cas.13971

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PLANNED-17H06394, KAKENHI-PROJECT-15H01678, KAKENHI-PROJECT-16H02668, KAKENHI-PROJECT-18H03211, KAKENHI-PROJECT-16H06299, KAKENHI-PROJECT-17H01886, KAKENHI-PROJECT-18H02793, KAKENHI-PROJECT-17K09413, KAKENHI-PROJECT-17K15934
  • [Journal Article] Prostaglandin E-major urinary metabolite as a noninvasive surrogate marker for infantile necrotizing enterocolitis.2019

    • Author(s)
      Konishi KI, Yoshida M, Nakao A, Tsuchiya K, Tsurisawa C, Ichiki K, Takeda T, Hisaeda Y, Hirota A, Amagata S, Odashima T, Yokomori K, Ishida K, Matsuura M, Ito S, Fujiwara M, Nakahara S.
    • Journal Title

      J Pediatr Surg.

      Volume: 54 Issue: 8 Pages: 1584-1589

    • DOI

      10.1016/j.jpedsurg.2018.08.044

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19H01806
  • [Journal Article] An optimal semiparametric method for two-group classification2018

    • Author(s)
      Baek, S., Komori, O. Ma, Y.
    • Journal Title

      Scandinavian Journal of Statistics

      Volume: 投稿中

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Journal Article] An optimal semiparametric method for two-group classification.2018

    • Author(s)
      Baek, S., Komori, O. Ma, Y.
    • Journal Title

      Scandinavian Journal of Statistics

      Volume: 45 Issue: 3 Pages: 806-846

    • DOI

      10.1111/sjos.12323

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K12401
  • [Journal Article] Robust bias correction model for estimation of global trend in marine populations2017

    • Author(s)
      Komori, O., Eguchi, S., Saigusa, Y., Okamura, S. and Ichinokawa, M.
    • Journal Title

      Ecosphere

      Volume: 8 Pages: 1-9

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Journal Article] Robust bias correction model for estimation of global trend in marine populations2017

    • Author(s)
      Komori O, Eguchi S, Saigusa Y, Okamura S, Ichinokawa M
    • Journal Title

      Ecosphere

      Volume: 8 Issue: 12 Pages: 1-9

    • DOI

      10.1002/ecs2.2038

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16K12401
  • [Journal Article] Quasi-linear score for capturing heterogeneous structure in biomarkers2017

    • Author(s)
      Omae K, Komori O, Eguchi S
    • Journal Title

      BMC Bioinformatics

      Volume: 18 Issue: 1 Pages: 1-15

    • DOI

      10.1186/s12859-017-1721-x

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16K12401, KAKENHI-PROJECT-25280008
  • [Journal Article] Clinical and microarray analysis of breast cancers of all subtypes from two prospective preoperative chemotherapy studies.2016

    • Author(s)
      Okuma, H., Koizumi, F., Hirakawa, A., Nakatochi, M., Komori, O., Hashimoto,J., Kodaira, M., Yunokawa, M., Yamamoto, H.,Yonemori, K., Shimizu, C.,Fujiwara, Y. and Tamura, K.
    • Journal Title

      British Journal of Cancer

      Volume: 115 Issue: 4 Pages: 411-419

    • DOI

      10.1038/bjc.2016.184

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Journal Article] An asymmetric logistic regression model for ecological data2016

    • Author(s)
      Komori, O., Eguchi, S., Ikeda, S., Okamura, H., Ichinokawa, M. and Nakayama, S.
    • Journal Title

      Methods in Ecology and Evolution

      Volume: 7(2) Issue: 2 Pages: 249-260

    • DOI

      10.1111/2041-210x.12473

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Journal Article] Reproducible detection of disease-associated markers from gene expression data2016

    • Author(s)
      K. Omae, O. Komori and S.Eguchi
    • Journal Title

      BMC Medical Genomics

      Volume: 9(53) Issue: 1 Pages: 53-53

    • DOI

      10.1186/s12920-016-0214-5

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25280008, KAKENHI-PROJECT-16K12401
  • [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] Generalized t-statistics for two-group classification.2015

    • Author(s)
      O. Komori, S. Eguchi and J. Copas.
    • Journal Title

      Biometrics

      Volume: 71, 2 Issue: 2 Pages: 404-416

    • DOI

      10.1111/biom.12265

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25280008, KAKENHI-PROJECT-24240042
  • [Journal Article] Individualized prostate-specific antigen threshold values to avoid overdiagnosis of prostate cancer and reduce unnecessary biopsy in elderly men2014

    • Author(s)
      Kanao K., Komori O., Nakashima J., Ohigashi T., Kikuchi E., Miyajima A., Nakagawa K., Eguchi S. and Oya M
    • Journal Title

      Japanese Journal of Clinical Oncology

      Volume: 44 Issue: 9 Pages: 852-859

    • DOI

      10.1093/jjco/hyu133

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24240042, KAKENHI-PROJECT-25280008
  • [Journal Article] Spontaneous clustering via minimum gamma-divergence2014

    • Author(s)
      Notsu A, Komori O, Eguchi S
    • Journal Title

      Neural Computation

      Volume: 26 Issue: 2 Pages: 421-448

    • DOI

      10.1162/neco_a_00547

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24240042, KAKENHI-PROJECT-25280008
  • [Journal Article] Duality of Maximum Entropy and Minimum Divergence2014

    • Author(s)
      Shinto Eguchi, Osamu Komori and Atsumi Ohara
    • Journal Title

      Entropy

      Volume: 16 Issue: 7 Pages: 3552-3572

    • DOI

      10.3390/e16073552

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23540134, KAKENHI-PROJECT-24240042, KAKENHI-PROJECT-25280008
  • [Journal Article] Multiple suboptimal solutions for prediction rules in gene expression data2013

    • Author(s)
      Komori, O., Pritchard, M. and Eguchi, S.
    • Journal Title

      Computational and Mathematical Methods in Medicine

      Volume: 2013 Pages: 1-14

    • DOI

      10.1155/2013/798189

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Journal Article] Multiple suboptimal solutions for prediction rules in gene expression data.2013

    • Author(s)
      O. Komori
    • Journal Title

      Computational and Mathematical Methods in Medicine. [online]

      Volume: 2013 Pages: 14-14

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] Robust independent component analysis via minimum gamma-divergence estimation2013

    • Author(s)
      Chen PW, Hung H, Komori O, Huang SY, Eguchi S
    • Journal Title

      IEEE Journal of Selected Topics in Signal Processing

      Volume: 7 Issue: 4 Pages: 614-624

    • DOI

      10.1109/jstsp.2013.2247024

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24240042, KAKENHI-PROJECT-25280008
  • [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] Projective power entropy and maximum Tsallis entropy distributions2011

    • Author(s)
      S. Eguchi, O. Komori and S. Kato
    • Journal Title

      Entropy

      Volume: 13 Issue: 10 Pages: 1746-1764

    • DOI

      10.3390/e13101746

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028, KAKENHI-PROJECT-22740076
  • [Journal Article] Prediction Analysis for Genomic and Proteomic Data: New Statistical Methods Based on Machine Learning2011

    • Author(s)
      小森理, 江口真透
    • Journal Title

      Japanese Journal of Biometrics

      Volume: 32 Issue: 1 Pages: 49-73

    • DOI

      10.5691/jjb.32.49

    • NAID

      10029531726

    • ISSN
      0918-4430, 2185-6494
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] Boosting Learning Algorithm for Pattern Recognition and Beyond2011

    • Author(s)
      O. Komori and S. Eguchi
    • Journal Title

      IEICE Trans. Inf. & Syst.

      Volume: E94-D Issue: 10 Pages: 1863-1869

    • DOI

      10.1587/transinf.E94.D.1863

    • NAID

      10030193119

    • ISSN
      0916-8532, 1745-1361
    • Language
      English
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] A boosting method for maximizing the partial area under the ROC curve.2010

    • Author(s)
      O.Komori, S.Eguchi.
    • Journal Title

      BMC Bioinformatics

      Pages: 11-314

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] area under the ROC curve2010

    • Author(s)
      O. Komori and S. Eguchi
    • Journal Title

      BMC Bioinformatics

      Volume: 11:314

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] A boosting method for maximizing the partial area under the ROC curve.2010

    • Author(s)
      O.Komori, S.Eguchi
    • Journal Title

      BMC Bioinformatics

      Volume: 11:314(online)

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] Robust hierarchical clustering for gene expression data analysis2009

    • Author(s)
      N. H. Mollah, M. Pritchard, O. Komori and S. Eguchi
    • Journal Title

      Communications of SIWN

      Volume: 6 Pages: 118-122

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] Robust hierarchical clustering for gene expression data analysis.2009

    • Author(s)
      N.H.Mollah, M.Pritchard, O.Komori, S.Eguchi.
    • Journal Title

      Communications of SIWN 6

      Pages: 118-122

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] Robust Independent Component Analysis via Minimum γ-Divergence Estimation

    • Author(s)
      P. Chen, H. Hung, O. Komori, S-Y. Huang, and S. Eguchi
    • Journal Title

      To appear in IEEE

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Geometric-mean divergence に基づく生物多様性予測2023

    • Author(s)
      小森理
    • Organizer
      2023年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-23K28043
  • [Presentation] Species distribution modeling using geometric-mean divergence2023

    • Author(s)
      Osamu Komori
    • Organizer
      IASC-ARS
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K11938
  • [Presentation] Geometric-mean divergence に基づく生物多様性予測2023

    • Author(s)
      小森理
    • Organizer
      統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-22K11938
  • [Presentation] Species distribution modeling using geometric-mean divergence2023

    • Author(s)
      Osamu Komori
    • Organizer
      IASC-ARS 2023
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21H04874
  • [Presentation] 準線形予測関数をもつ一般化混合効果モデルについて2020

    • Author(s)
      三枝 祐輔, 小森 理, 江口真透
    • Organizer
      統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-18H03211
  • [Presentation] G-computation に関するoverview2019

    • Author(s)
      小森理
    • Organizer
      統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-18K11190
  • [Presentation] 一般化平均を用いた非正規な混合効果モデル2019

    • Author(s)
      三枝 祐輔, 小森 理, 江口真透
    • Organizer
      統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-18H03211
  • [Presentation] 一般化エネルギー関数に基づくクラスター分析2018

    • Author(s)
      小森理
    • Organizer
      統計関連学会連合大会,
    • Data Source
      KAKENHI-PROJECT-18K11190
  • [Presentation] 一般化エネルギー関数に基づくクラスター分析2018

    • Author(s)
      小森理,江口真透
    • Organizer
      2018年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-18H03211
  • [Presentation] 統計的機械学習法とデータの異質性に注目した解析法2018

    • Author(s)
      小森理
    • Organizer
      SICE制御部門 データ科学とリンクした次世代の適応学習制御調査研究会
    • Invited
    • Data Source
      KAKENHI-PROJECT-18K11190
  • [Presentation] 統計的機械学習法とデータの異質性に注目した解析法2018

    • Author(s)
      小森 理
    • Organizer
      SICE制御部門 データ科学とリンクした次世代の適応学習制御調査研究会
    • Invited
    • Data Source
      KAKENHI-PROJECT-15H01678
  • [Presentation] 一般化エネルギー関数に基づくクラスター分析2018

    • Author(s)
      小森 理、江口真透
    • Organizer
      2018年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-15H01678
  • [Presentation] 統計的機械学習法とデータの異質性に注目した解析法2018

    • Author(s)
      小森理
    • Organizer
      SICE制御部門 データ科学とリンクした次世代の適応学習制御調査研究会、統計数理研究所
    • Invited
    • Data Source
      KAKENHI-PROJECT-18H03211
  • [Presentation] 一般化エネルギー関数に基づくクラスター分析2018

    • Author(s)
      小森 理, 江口真透
    • Organizer
      2018年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-16K12401
  • [Presentation] Asymmetric logistic regression model2017

    • Author(s)
      Komori O
    • Organizer
      The International Conference on Bioinformatics and Biostatistics for Agriculture Health and Environment
    • Place of Presentation
      Rajshahi ,Bangladesh
    • Year and Date
      2017-01-22
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K12401
  • [Presentation] Asymmetric logistic regression model2017

    • Author(s)
      Komori, O.
    • Organizer
      The International Conference on Bioinformatics and Biostatistics for Agriculture Health and Environment,
    • Place of Presentation
      University of Rajshahi in Bangladesh
    • Year and Date
      2017-01-20
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] Robustified asymmetric logistic regression model for global fish stock assessment2017

    • Author(s)
      Komori, O., Eguchi, S., Hiroshi, O., Ichinokawa, M.
    • Organizer
      CFAS 2017:International Conference on Fisheries and Aquatic Sciences
    • Place of Presentation
      Patong Beach Hotel, Thailand
    • Year and Date
      2017-03-06
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] 生態デ-タのためのポアソン点過程モデル?準線形モデリング?2017

    • Author(s)
      小森理
    • Organizer
      統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] 生態デ-タのためポアソン点過程-準線形モデリング-2017

    • Author(s)
      小森理,三枝祐輔,江口真透
    • Organizer
      統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] 生態デ-タのためのポアソン点過程モデル 準線形モデリング2017

    • Author(s)
      小森理
    • Organizer
      統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-16K12401
  • [Presentation] 分布の異質性を考慮した判別手法2016

    • Author(s)
      小森理
    • Organizer
      統計関連学会連合大会
    • Place of Presentation
      金沢大学(石川県金沢市)
    • Year and Date
      2016-09-06
    • Data Source
      KAKENHI-PROJECT-16K12401
  • [Presentation] 分布の異質性を考慮した判別手法2016

    • Author(s)
      小森理
    • Organizer
      統計関連学会連合大会
    • Place of Presentation
      金沢大学
    • Year and Date
      2016-09-04
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] Information geometry associated with two generalized means2016

    • Author(s)
      Eguchi, S., Komori, O. and Ohara, A.
    • Organizer
      Information Geometry and its applications IV
    • Place of Presentation
      Liblice, Czech Republic
    • Year and Date
      2016-06-12
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] A simple mixture model for probability density estimation based on a quasi divergence (poster)2016

    • Author(s)
      Komori, O. and Eguchi, S
    • Organizer
      Information Geometry and its applications IV
    • Place of Presentation
      Liblice, Czech Republic
    • Year and Date
      2016-06-12
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] 分布の異質性を考慮したt統計量とAUCの一般化2015

    • Author(s)
      小森理,江口真透
    • Organizer
      統計関連学会連合大会2015
    • Place of Presentation
      岡山大学 津島キャンパス
    • Year and Date
      2015-09-07
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] Extension of AUC for classification considering heterogeneity in distributions.2015

    • Author(s)
      Komori, O. and Eguchi, S.
    • Organizer
      The 9th Conference of the Asian Regional Section of the IASC-ARS 2015
    • Place of Presentation
      National University of Singapore, Singapore.
    • Year and Date
      2015-12-19
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] Generalized t-statistic and AUC for binary classification.2015

    • Author(s)
      Komori, O. and Eguchi, S.
    • Organizer
      Workshop on High-Dimensional Statistical Analysis
    • Place of Presentation
      Academia Sinica, Taiwan
    • Year and Date
      2015-12-11
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] 異質性が内在する2標本検定問題におけるロバストな統計量2015

    • Author(s)
      大前勝弘,小森理,江口真透
    • Organizer
      統計関連学会連合大会2015
    • Place of Presentation
      岡山大学 津島キャンパス
    • Year and Date
      2015-09-08
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] 2群判別のための多重マーカーの一般化 t-統計量について:セミパラメトリックスとラッソ2015

    • Author(s)
      江口 真透、小森 理
    • Organizer
      バイオ統計学の挑戦と貢献
    • Place of Presentation
      福岡
    • Year and Date
      2015-02-03
    • Invited
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] Duality in a maximum generalized entropy model.2014

    • Author(s)
      Eguchi S., Komori, O. Ohara, A.
    • Organizer
      34th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
    • Place of Presentation
      Amboise France
    • Year and Date
      2014-09-25
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] マイクロアレイデータによるロバストな遺伝子ランキングを用いた表現型予測2014

    • Author(s)
      大前 勝弘、小森 理、江口 真透
    • Organizer
      統計関連学会連合大会
    • Place of Presentation
      東京
    • Year and Date
      2014-09-14
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] Kernel Switching Ridge Regression2014

    • Author(s)
      小森理
    • Organizer
      日本統計学会春季集会
    • Place of Presentation
      同志社大学今出川キャンパス
    • Year and Date
      2014-03-08
    • Data Source
      KAKENHI-PROJECT-23700347
  • [Presentation] Generalized entropy and divergence in statistical learning.2014

    • Author(s)
      Eguchi, S., Komori, O.
    • Organizer
      The 3rd Institute of Mathematical Statistics Asia Pacific Rim Meeting
    • Place of Presentation
      Taipei Taiwan
    • Year and Date
      2014-06-27
    • Invited
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] Maximum power entropy method for ecological data analysis.2014

    • Author(s)
      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] 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] Robust ranking method via repeated random partition for gene expressions data.2014

    • Author(s)
      Omae, K., Komori, O., Eguchi, S.
    • Organizer
      The 3rd Institute of Mathematical Statistics Asia Pacific Rim Meeting
    • Place of Presentation
      Taipei Taiwan
    • Year and Date
      2014-06-28
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] A class of u-statistics combining multiple markers for two-group classification2013

    • Author(s)
      Komori, O., Hung, H., Chen, P., Huang, Su-Yun and Eguchi, S.
    • Organizer
      Joint Meeting of the IASC Satellite Conference for the 59th ISI WSC and the 8th Conference of the Asian Regional Section of the IASC
    • Place of Presentation
      Seoul, Korea
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] 小集団の匿名化の実際と課題データの暗号化の科学2013

    • Author(s)
      小森理
    • Organizer
      2013年南極医学医療ワークショップ
    • Place of Presentation
      国立極地研究所
    • Year and Date
      2013-07-20
    • Data Source
      KAKENHI-PROJECT-23700347
  • [Presentation] 小集団の匿名化の実際と課題 データの暗号化の科学2013

    • Author(s)
      小森 理
    • Organizer
      南極医学医療ワークショップ
    • Place of Presentation
      国立極地研究所
    • Data Source
      KAKENHI-PROJECT-23700347
  • [Presentation] Density estimation based on U-divergence with volume-mass-one2012

    • Author(s)
      O. Komori
    • Organizer
      The 2nd Institute of Mathematical Statistics Asia Pacific Rim Meeting
    • Place of Presentation
      Tsukuba,Japan
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Maximization of a Generalized t-Statistic for Two-Class Discrimination Problem2012

    • Author(s)
      Osamu Komori
    • Organizer
      XXVI the International Biometric Conference
    • Place of Presentation
      Kobe International Conference Center
    • Year and Date
      2012-08-28
    • Data Source
      KAKENHI-PROJECT-23700347
  • [Presentation] Maximization of a Generalized t-Statistic for Two-Class Discrimination Problem2012

    • Author(s)
      O. Komori, S. Eguchi and J. Copas
    • Organizer
      XXVI th International Biometric Conference
    • Place of Presentation
      Kobe, Japan
    • Year and Date
      2012-08-28
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Maximization of the generalized t-statistics for two-class discrimination problem2012

    • Author(s)
      O. Komori, S. Eguchi and J. Copas
    • Organizer
      Statistical Seminar
    • Place of Presentation
      Academia Sinica, Taipei, Taiwan
    • Year and Date
      2012-10-15
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Maximization of a Generalized t-Statistic for Two-Class Discrimination Problem2012

    • Author(s)
      O. Komori
    • Organizer
      XXVI th International Biometric Conference
    • Place of Presentation
      Kobe,Japan
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] t統計量の一般化とその判別解析への応用2012

    • Author(s)
      小森 理
    • Organizer
      統計関連学会連合大会2012
    • Place of Presentation
      札幌,
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Projective power cross entropy and detectability for hidden structures: part II, International Workshop on Anomalous Statistics2012

    • Author(s)
      S. Eguchi, A. Notsu and O. Komori
    • Organizer
      Generalized Entropies, and Information Geometry
    • Place of Presentation
      奈良女子大学
    • Year and Date
      2012-03-09
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Maximization of the generalized t-statistics for two-class discrimination problem,2012

    • Author(s)
      O. Komori
    • Organizer
      Academia Sinica Statistical Seminar
    • Place of Presentation
      Academia Sinica, Taipei
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] t統計量の一般化とその判別解析への応用2012

    • Author(s)
      小森 理,江口真透,コーパス ジョン
    • Organizer
      統計関連学会連合大会
    • Place of Presentation
      札幌,北海道
    • Year and Date
      2012-09-10
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Projective power entropy based learning for unsupervised data2011

    • Author(s)
      S. Eguchi, O. Komori, A. Notsu
    • Organizer
      Joint Meeting of 2011 Taipei International Statistical Symposium
    • Place of Presentation
      Academia Sinica, Taiwan
    • Year and Date
      2011-12-17
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] t統計量をもとにしたLassoとBoostingについて2011

    • Author(s)
      小森理
    • Organizer
      2011年度統計学会
    • Place of Presentation
      九州大学
    • Year and Date
      2011-09-06
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Projective power entropy based learning for unsupervised data2011

    • Author(s)
      S.Eguchi, O.Komori, A.Notsu
    • Organizer
      Joint Meeting of 2011 Taipei International Statistical Symposium
    • Place of Presentation
      Academia Sinica, Taiawan(招待講演)
    • Year and Date
      2011-12-17
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Maximization of t-Statistics based on one class label2011

    • Author(s)
      O.Komori, S.Eguchi
    • Organizer
      Young Statisticians Meeting
    • Place of Presentation
      Trinity College Dublin,アイルランド
    • Year and Date
      2011-08-20
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Pattern recognition from genome and omics data2010

    • Author(s)
      Osamu Komori, Shinto Eguchi
    • Organizer
      Tutorial Workshop on Learning with Information Divergence Geometry
    • Place of Presentation
      National Taiwan University, Taipei, Taiwan(招待講演)
    • Year and Date
      2010-04-25
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Information geometry on model uncertainty2010

    • Author(s)
      S. Eguchi and O. Komori
    • Organizer
      Tutorial Workshop on Learning with Information Divergence Geometry
    • Place of Presentation
      National Taiwan University, Taipei, Taiwan
    • Year and Date
      2010-04-24
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Boosting for Maximization of the Partial Area under the ROC Curve2010

    • Author(s)
      小森理, 江口真透
    • Organizer
      統計モデルによる現象の解析,並びにその基礎理論
    • Place of Presentation
      山形テルサ 山形
    • Year and Date
      2010-10-23
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Information divergence class and robust statistical methods I, II2010

    • Author(s)
      Shinto Eguchi, Osamu Komori
    • Organizer
      Tutorial Workshop on Learning with Information Divergence Geometry
    • Place of Presentation
      National Taiwan University, Taipei, Taiwan(招待講演)
    • Year and Date
      2010-04-24
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Tutorial lecture on Learning with Information Divergence Geometry2010

    • Author(s)
      Eguchi, S., Komori, O.
    • Organizer
      Taipei
    • Place of Presentation
      Taiwan
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] nformation divergence class and robust statistical methods I,II2010

    • Author(s)
      S. Eguchi and O. Komori
    • Organizer
      Tutorial Workshop on Learning with Information Divergence Geometry
    • Place of Presentation
      National Taiwan University, Taipei, Taiwan
    • Year and Date
      2010-04-24
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Pattern recognition from genome and omics data2010

    • Author(s)
      O. Komori and S. Eguchi
    • Organizer
      Tutorial Workshop on Learning with Information Divergence Geometry
    • Place of Presentation
      National Taiwan University, Taipei, Taiwan
    • Year and Date
      2010-04-25
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] A Statistical Method for the Partial Area under the ROC Curve2010

    • Author(s)
      Osamu Komori, Shinto Eguchi
    • Organizer
      25^<th> International Biometric Conference
    • Place of Presentation
      Florianopolis, Brazil
    • Year and Date
      2010-12-07
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] A Statistical Method for the Partial Area under the ROC Curve2010

    • Author(s)
      O. Komori, S. Eguchi
    • Organizer
      25th International Biometric Conference
    • Place of Presentation
      Florianopolis, Brazil
    • Year and Date
      2010-12-07
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Boosting leaning algorithm and U-loss functions I and II2010

    • Author(s)
      S. Eguchi and O. Komori
    • Organizer
      Tutorial Workshop on Learning with Information Divergence Geometry
    • Place of Presentation
      National Taiwan University, Taipei, Taiwan
    • Year and Date
      2010-04-25
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] ブースティングによる混合モデルの推定2010

    • Author(s)
      小森理, 江口真透
    • Organizer
      統計関連学会連合大会
    • Place of Presentation
      早稲田大学 東京
    • Year and Date
      2010-09-06
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Boosting leaning algorithm and U-loss functions I and II2010

    • Author(s)
      Shinto Eguchi, Osamu Komori
    • Organizer
      Tutorial Workshop on Learning with Information Divergence Geometry
    • Place of Presentation
      National Taiwan University, Taipei, Taiwan(招待講演)
    • Year and Date
      2010-04-25
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Information geometry on model uncertainty2010

    • Author(s)
      Shinto Eguchi, Osamu Komori
    • Organizer
      Tutorial Workshop on Learning with Information Divergence Geometry
    • Place of Presentation
      National Taiwan University, Taipei, Taiwan(招待講演)
    • Year and Date
      2010-04-24
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] 3次自然スプラインに基づくpAUCBoost2009

    • Author(s)
      小森理, 江口真透
    • Organizer
      統計関連学会連合大会
    • Place of Presentation
      京都, 日本
    • Year and Date
      2009-09-06
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] t-Boost method for discriminant analysis with high-dimensional feature vector.2009

    • Author(s)
      江口真透、小森理
    • Organizer
      科学研究費集会「高次元データの統計学-理論・方法論・関連分野への応用-」
    • Place of Presentation
      筑波大学
    • Year and Date
      2009-12-14
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Maximization of the partial area under the ROC curve using a boosting technique.(Poster)2009

    • Author(s)
      Komori, O., Eguchi, S.
    • Organizer
      Institute of Mathematical Statistics Asia Pacific Rim 1st Meeting
    • Place of Presentation
      Seoul, South Korea
    • Year and Date
      2009-06-28
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] t値を最大にする判別関数のブースティング2009

    • Author(s)
      江口真透, 小森理
    • Organizer
      統計関連学会連合大会
    • Place of Presentation
      京都, 日本
    • Year and Date
      2009-09-07
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] 1クラスラベルに注目したブースティング2008

    • Author(s)
      小森 理
    • Organizer
      統計関連学会連合大会
    • Place of Presentation
      横浜,神奈川
    • Year and Date
      2008-09-08
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] 1クラスラペルに注目したブースティング2008

    • Author(s)
      小森, 理
    • Organizer
      統計関連学会連合大会
    • Place of Presentation
      横浜
    • Year and Date
      2008-09-08
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] A Boosting Method for Maximizing the Partial Area under the ROC Curve.2008

    • Author(s)
      Komori, Osamu
    • Organizer
      International Association for Statistical Computing
    • Place of Presentation
      Yokohama
    • Year and Date
      2008-12-07
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] A Boosting Method for Maximizing the Partial Area under the ROC Curve2008

    • Author(s)
      O. Komori
    • Organizer
      International Association for Statistical Computing 2008
    • Place of Presentation
      Yokohama, Japan
    • Year and Date
      2008-12-07
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Boosting true positive and false positive rates for pattern recognition.

    • Author(s)
      Eguchi, S., Osamu Komori
    • Organizer
      IMS-APRM
    • Place of Presentation
      Seoul
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Maximization of a Generalized t-Statistic for Two-Class Discrimination Problem

    • Author(s)
      Osamu Komori
    • Organizer
      XXVI th International Biometric Conference
    • Place of Presentation
      Kobe
    • Data Source
      KAKENHI-PROJECT-23700347
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