3647 search results - page 68 / 730 » Feature Selection for SVMs |
CIKM
2011
Springer
12 years 9 months ago
2011
Springer
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...
CVPR
2005
IEEE
14 years 11 months ago
2005
IEEE
We propose an approximate Bayesian approach for unsupervised feature selection and density estimation, where the importance of the features for clustering is used as the measure f...
ECCV
2004
Springer
14 years 11 months ago
2004
Springer
Abstract. We address the problem of selecting a subset of the most relevant features from a set of sample data in cases where there are multiple (equally reasonable) solutions. In ...
ICASSP
2007
IEEE
14 years 3 months ago
2007
IEEE
This paper proposes a novel feature selection method based on twostage analysis of Fisher Ratio and Mutual Information for robust Brain Computer Interface. This method decomposes ...
UAI
2004
13 years 10 months ago
2004
Suppose that the only available information in a multi-class problem are expert estimates of the conditional probabilities of occurrence for a set of binary features. The aim is t...