2825 search results - page 55 / 565 » Robust Feature Selection Algorithms |
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
We study an interesting and challenging problem, online streaming feature selection, in which the size of the feature set is unknown, and not all features are available for learni...
AAAI
2008
13 years 10 months ago
2008
Fisher score and Laplacian score are two popular feature selection algorithms, both of which belong to the general graph-based feature selection framework. In this framework, a fe...
CVPR
2004
IEEE
14 years 10 months ago
2004
IEEE
In this paper, we propose a robust model selection criterion for mixtures of subspaces called minimum effective dimension (MED). Previous information-theoretic model selection cri...
IWBRS
2005
Springer
14 years 1 months ago
2005
Springer
Though AdaBoost has been widely used for feature selection and classifier learning, many of the selected features, or weak classifiers, are redundant. By incorporating mutual infor...
ESANN
2006
13 years 9 months ago
2006
Abstract. Feature Selection techniques usually follow some search strategy to select a suitable subset from a set of features. Most neural network growing algorithms perform a sear...