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2010 Fiscal Year Self-evaluation Report

Transversal study of machine learning and optimization

Research Project

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Project/Area Number 20700251
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeSingle-year Grants
Research Field Statistical science
Research InstitutionNagoya University

Principal Investigator

KANAMORI Takafumi  Nagoya University, 情報科学研究科, 准教授 (60334546)

Project Period (FY) 2008 – 2011
Keywords統計的学習理論
Research Abstract

本研究では,機械学習と最適化理論・数値計算法を横断する理論的な枠組を構築することを計画している.研究計画は主に3つのテーマからなる:(1)さまざまなリスク尺度やパラメトリック最適化の機械学習への応用,(2)不確実性のもとでの最適化,(3)機械学習と最適化のゲーム理論的融合.いずれの研究課題においても,理論だけではなく数値的に効率的な学習アルゴリズムの構築と実装を目指す.

  • Research Products

    (12 results)

All 2010 2009 2008

All Journal Article (5 results) (of which Peer Reviewed: 3 results) Presentation (5 results) Book (2 results)

  • [Journal Article] Deformation of Log-Likelihood Loss Function for Multiclass Boosting2010

    • Author(s)
      Takafumi Kanamori
    • Journal Title

      Neural Networks vol.23

      Pages: 843-864

    • Peer Reviewed
  • [Journal Article] Theoretical Analysis of Density Ratio Estimation.2010

    • Author(s)
      Kanamori, T., Suzuki, T., Sugiyama
    • Journal Title

      IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences vol.E93-A, no.4

      Pages: 787-798

  • [Journal Article] A Least-squares Approach to Direct Importance Estimation.2009

    • Author(s)
      Takafumi Kanamori, Shohei Hido, Masashi Sugiyama
    • Journal Title

      Journal of Machine Learning Research. 10

      Pages: 1391-1445

    • Peer Reviewed
  • [Journal Article] A Robust Approach Based on Conditional Value-at-Risk Measure to Statistical Learning Problems.2009

    • Author(s)
      Takeda, A., Kanamori, T.
    • Journal Title

      European Journal of Operational Research 198

      Pages: 287-296

    • Peer Reviewed
  • [Journal Article] Robust Boosting Algorithm against Mislabelling in Multi-Class Problems.2008

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

      Neural Computation vol.20, num.6

      Pages: 1596-1630

  • [Presentation] Kouta Mine Multiscale Bagging with Applications to Classification and Active Learning.2010

    • Author(s)
      Shimodaira H., Kanamori T., Masayoshi A.
    • Organizer
      The 2nd Asian Conference on Machine Learning
    • Place of Presentation
      Tokyo, Japan.
    • Year and Date
      20101100
  • [Presentation] A Bregman extension of quasi-Newton updates.2010

    • Author(s)
      Kanamori T., Ohara Atsumi
    • Organizer
      Information Geometry and its Applications
    • Place of Presentation
      Germany
    • Year and Date
      20100800
  • [Presentation] Efficient direct importance estimation for covariate shift adaptation and outlier detection.2009

    • Author(s)
      T. Kanamori
    • Organizer
      The 1st Institute of Mathematical Statistics
    • Place of Presentation
      Asia Pacific Rim Meeting, Seoul
    • Year and Date
      20090628-20090701
  • [Presentation] Condition Number Analysis of Kernel-based Density Ratio Estimation.2009

    • Author(s)
      T. Kanamori, T. Suzuki, M. Sugiyama
    • Organizer
      ICML workshop on Numerical Mathematics in Machine Learning
    • Place of Presentation
      Montreal Canada
    • Year and Date
      20090600
  • [Presentation] Shohei Hido Efficient Direct Density Ratio Estimation for Non-stationarity2008

    • Author(s)
      Takafumi Kanamori, Masashi Sugiyama
    • Organizer
      Adaptation and Outlier Detection NIPS
    • Place of Presentation
      Vancouver, Canada
    • Year and Date
      20081200
  • [Book] パターン認識(Rで学ぶデータサイエンス5)2009

    • Author(s)
      金森敬文, 竹之内高志, 村田昇
    • Total Pages
      274(90)
    • Publisher
      共立出版
  • [Book] Chapter contribution(Geometry of Covariate Shift with Applications to Active Learning, Dataset Shift in Machine Learning)2008

    • Author(s)
      T. Kanamori, H. Shimodaira
    • Total Pages
      87-105
    • Publisher
      MIT Press

URL: 

Published: 2012-03-09   Modified: 2016-04-21  

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