【論】Xing,2001,Feature selection for high-demensio～

Eric P. Xing, Michael I. Jordan, Richard M. Karp
Feature selection for high-dimensional genomic microarray data
Proceedings of the Eighteenth International Conference on Machine Learning, (ICML2001).
[PDF][Web Site]

・遺伝子抽出法の提案
・データ：ヒト, 白血病(ALL/AML),72サンプル, 7130遺伝子 [Golub.1999]
・遺伝子抽出法：Markov Blanket filter [Koller and Sahami,1996]を改良
・クラス識別法：1.Gaussian classifier, 2.Logistic classifier, 3.Nearest neighbor classifier

・抽出法「Our approach is a hybrid of filter and wrapper approaches to feature selection.」
・「Wrapper algorithms can perform better than filter algorithms, but they can require orders of magnitude more computation time.」