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JMLR
2010
108views more  JMLR 2010»
13 years 2 days ago
Feature Selection using Multiple Streams
Feature selection for supervised learning can be greatly improved by making use of the fact that features often come in classes. For example, in gene expression data, the genes wh...
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Unga...
KDD
2005
ACM
145views Data Mining» more  KDD 2005»
14 years 5 months ago
Streaming feature selection using alpha-investing
Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H...
KDD
2012
ACM
178views Data Mining» more  KDD 2012»
11 years 7 months ago
Mining emerging patterns by streaming feature selection
Building an accurate emerging pattern classifier with a highdimensional dataset is a challenging issue. The problem becomes even more difficult if the whole feature space is unava...
Kui Yu, Wei Ding 0003, Dan A. Simovici, Xindong Wu
ICASSP
2008
IEEE
13 years 11 months ago
Hybrid feature selection for gesture recognition using support vector machines
This paper presents an approach for a multi-cue based two-dimensional gesture recognition that combines two different forms of cues, namely shape cues and motion cues, in a suppor...
Yu Yuan, Kenneth Barner
ICDM
2010
IEEE
142views Data Mining» more  ICDM 2010»
13 years 3 months ago
Causal Discovery from Streaming Features
In this paper, we study a new research problem of causal discovery from streaming features. A unique characteristic of streaming features is that not all features can be available ...
Kui Yu, Xindong Wu, Hao Wang, Wei Ding