青嶋 誠(アオシマ マコト)
- 会議発表等
- High-dimensional classification in non-sparse settings
Aoshima Makoto
Kumamoto International Symposium “High Dimensional Statistical Analysis and Quantile Analysis for Time Series”/2016-03-04 - Statistical Methods for Heterogeneous Data
Aoshima Makoto
ISNPS Meeting “Biosciences, Medicine, and novel Non-Parametric Methods”/2015-07-15 - High-Dimensional Quadratic Classifiers in Non-Sparse Settings under Heteroscedasticity
Aoshima Makoto
ISNPS Meeting “Biosciences, Medicine, and novel Non-Parametric Methods”/2015-07-15 - 高次元の統計学
青嶋 誠
日本数学会2016年度年会市民講演会/2016-03-19 - 非スパース性と高次元データの分類
青嶋 誠
第18回情報論的学習理論ワークショップ/2015-11-25 - 高次元データに対する特徴選択を用いた２次判別法について
矢田 和善; 青嶋 誠
統計関連学会連合大会/2014-09-14 - 高次元混合分布におけるPCA とその応用
矢田 和善; 青嶋 誠
日本数学会秋季総合分科会/2014-09-28 - 高次元データにおける拡張クロスデータ行列法の漸近的性質とその応用について
矢田 和善; 青嶋 誠
日本数学会年度会/2015-03-24 - Quadratic-type classifications for non-Gaussian, high-dimensional data
Makoto Aoshima; Kazuyoshi Yata
Second International Society of NonParametric Statistics/2014-06-13--2014-06-13 - 高次元小標本の統計学
青嶋 誠
統計数理研究所共同研究集会「統計サマーセミナー2010」/2010-08-02 - Quadratic-Type Classifications for High-Dimensional Data
Aoshima Makoto; Yata Kazuyoshi
The 3rd IMS Asia Pacific Rim Meeting/2014-07 - Principal component analysis based clustering for high-dimension, low-sample-size data
矢田和善; 青嶋 誠
第9 回日本統計学会春季集会/2015-03-08 - 高次元データの分類–判別分析とクラスター分析の諸問題と高次元現象
青嶋 誠
The Applied Statistics Workshop/2014-12-19 - Two-Stage Inference Methods for Large P, Small N Scenarios: Part II
Aoshima Makoto
Fifth International Workshop in Applied Probability/2010-07 - Effective Classification for High-Dimension, Non-Gaussian Data and Sample Size Determination
Aoshima Makoto
Third International Workshop in Sequential Methodologies/2011-06 - Effective Methodologies for High-Dimensional Statistical Inference
Aoshima Makoto
Joint Meeting of the 2011 Taipei International Statistical Symposium and 7th Conference of the Asian Regional Section of the IASC/2011-12 - Discussion on Professor Shelemyahu Zacks' Talk
Aoshima Makoto
Sixth International Workshop on Applied Probability/2012-06 - Misclassification Rate Adjusted Classifier for Multiclass, High-Dimensional Data
Aoshima Makoto
Sixth International Workshop on Applied Probability/2012-06 - Effective Methodologies for High-Dimensional Data
Aoshima Makoto
Fourth International Workshop in Sequential Methodologies/2013-07 - New PCAs for High-Dimensional Data
Aoshima Makoto
Workshop on Statistics for High-Dimensional and Dependent Data/2014-03 - Quadratic-Type Classifications for Non-Gaussian, High-Dimensional Data
Aoshima Makoto
Second Conference of the International Society of NonParametric Statistics/2014-06 - High-Dimensional Quadratic Classifiers in Non-Sparse Settings
Aoshima Makoto
Workshop on Statistical Methods for Large Complex Data/2015-03-13 - PCA consistency for high-dimensional data under the power spiked model
Yata Kazuyoshi; Makoto Aoshima
KSS/JSS/CSA International Session in KSS Semi-Annual Meeting/2013-11-02--2013-11-02 - Effective PCA for high-dimensional data and its applications
Makoto Aoshima; Kazuyoshi Yata
The 59th ISI World Statistics Congress/2013-08-27--2013-08-27 - PCA Consistency for Power Spiked Model in High-Dimensional Settings
矢田 和善; 青嶋 誠
日本統計学会春季集会/2013-03-03 - さらに表示...
- High-dimensional classification in non-sparse settings