イリチュ 美佳(イリチュ ミカ)
- 会議発表等
- Fuzzy Clustering Induced Correlation for Feature Extraction in Lower Dimension Space
Sato-Ilic Mika
International Conference of the ERCIM WG on Computational and Methodological Statistics, London, UK/2013-12-14--2013-12-16 - Fuzzy Dissimilarity based Multidimensional Scaling and Its Application to Collaborative Learning Data
Sato-Ilic Mika; Ilic Peter
Complex Adaptive Systems Conference/2013-11-13--2013-11-15 - 分類構造に基づく相関分析
イリチユ 美佳
2013年度統計関連学会連合大会/2013-09-08--2013-09-11 - Universal Fuzzy Clustering Model
イリチユ 美佳
IEEE World Congress on Computational Intelligence/2013-07 - 評価データのクラスタリングに基づくクラスター間類似度とその応用
イリチユ 美佳; 千葉龍之介
日本分類学会第31回大会/2013-03-05--2013-03-05 - 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 - さらに表示...
- Fuzzy Clustering Induced Correlation for Feature Extraction in Lower Dimension Space