イリチュ 美佳(イリチュ ミカ)

研究者情報全体を表示

会議発表等
  • On Fuzzy Clustering based Correlation
    Sato-Ilic Mika
    Conference on Complex Adaptive Systems/2012-11-14--2012-11-16
  • Analysis of Web Survey Data based on Similarity of Fuzzy Clusters
    Chiba Ryunosuke; Sato-Ilic Mika
    Conference on Complex Adaptive Systems/2012-11-14--2012-11-16
  • Structural Classification based Correlation and its Application to Principal Component Analysis for High-Dimension Low-Sample Size Data
    Sato-Ilic Mika
    IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)/International Joint Conference on Neural Networks (IJCNN)/IEEE Congress on Evolutionary Computation (IEEE-CEC)/IEEE World Congress on Computational Intelligence (IEEE-WCCI)/2012-06-10--2012-06-15
  • Cluster-based Scaling for Symbolic Data and its Applications in Decision Making (基調講演)
    M. Sato-Ilic
    4th International Conference on Intelligent Decision Technologies (KES-IDT2012)/2012-05-25
  • A Structural Analysis Based on Similarity between Fuzzy Clusters and Its Application to Evaluation Data
    Chiba Ryunosuke; Furutani Toshiaki; Sato-Ilic Mika
    4th International Conference on Intelligent Decision Technologies (IDT)/2012-05-23--2012-05-25
  • Cluster-based Scaling for Symbolic Data and its Applications in Decision Making
    M. Sato-Ilic
    4th International Conference on Intelligent Decision Technologies (KES-IDT2012)(基調講演)____/2012-05
  • Classification of High-Dimension Low-Sample Size Data
    Sato-Ilic Mika
    第28回ファジィシステムシンポジウム講演論文集/2012--2012
  • Fuzzy Cluster based Principal Component Analysis for High-Dimension and Low-Sample Size Data
    Sato-Ilic Mika
    2012年度統計関連学会連合大会講演報告集/2012--2012
  • Cluster Harnessing Analyses for High Dimension Low Sample-Size Data(特別講演)
    M. Sato-Ilic
    The Machine Learning and Information Retrieval Department, University of Paris (LIP6 -UPMC-CNRS)/2012-03-22
  • Cluster Harnessing Analyses for High Dimension Low Sample-Size Data
    M. Sato-Ilic
    Invited talk at the Machine Learning and Information Retrieval Department, University of Paris (LIP6 -UPMC)____/2012-03
  • Symbolic Clustering with Interval-Valued Data
    Sato-Ilic Mika
    Conference of the Complex Adaptive Systems on Responding to Continuous Global Change in Systems Needs/2011-10-30--2011-11-02
  • Identification of a Classifier on subspace of attributes for symbolic data
    佐藤 美佳
    2011年度統計関連学会連合大会講演報告集____29/2011-09
  • Cluster Harnessed Principal Component Analysis for Identification of Classifier
    佐藤 美佳
    科学研究費「計算代数手法に基づく数理統計学の展開」基盤研究 (A) 22240029(研究代表者:竹村彰通)による研究集会 『数理統計学の新たな展開』____/2011-07
  • Intelligent Symbolic Clustering through High Dimensional Space(特別講演)
    M. Sato-Ilic
    The Machine Learning and Information Retrieval Department, University of Paris (LIP6 -UPMC-CNRS)/2011-04-08
  • Intelligent Symbolic Clustering through High Dimensional Space
    M. Sato-Ilic
    Invited talk at the Machine Learning and Information Retrieval Department, University of Paris (LIP6 -UPMC)____/2011-04
  • ファジィ分類構造に基づく識別手法について
    桑田 智幸; 佐藤 美佳; +イリチユ 美佳
    第37回ファジィワークショップ講演論文集____39-40/2011-03
  • 学習型自己組織化加法的ファジィクラスタリングの脳波データへの適用
    桑田 智幸; 佐藤 美佳; +イリチユ 美佳
    第26回ファジィシステムシンポジウム講演論文集____306-311/2010-09
  • 一般化カーネルファジィクラスタリングモデル
    佐藤 美佳
    2010年度統計関連学会連合大会講演報告集____301/2010-09
  • 一般化Aggregation Operatorとクラスタリングへの適用
    佐藤 美佳
    第26回ファジィシステムシンポジウム講演論文集____197-198/2010-09
  • Fuzzy Clusterwise Analyses in High Dimensional Space (基調講演)
    M. Sato-Ilic
    Seventh International Symposium on Management Engineering/2010-08-27
  • 学習型自己組織化加法的ファジィクラスタリング手法
    桑田 智幸; 佐藤 美佳; +イリチユ 美佳
    第21回ソフトコンピューティング若手研究会講演予稿集____23/2010-08
  • 学習を考慮した自己組織化加法的ファジィクラスタリング
    桑田 智幸; 佐藤 美佳; +イリチユ 美佳
    日本計算機統計学会第24回大会論文集____155-158/2010-05
  • Exploratory Approaches for Complex Data(特別講演)
    M. Sato-Ilic
    6th Japan Society of Fuzzy Theory and Intelligent Informatics short course/2010-04-01
  • 類似構造分析
    佐藤 美佳
    ソフトコンピューティング学域平成21年度成果報告会____/2010-03
  • Fuzzy Classification Structure Based Analyses Through High Dimensional Data Space(特別講演)
    M. Sato-Ilic
    Joint Meeting of Japan-Korea Special Conference of Statistics/2010-02-02
  • さらに表示...