5802 search results - page 83 / 1161 » Parallelizing Feature Selection |
115
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APBC
2004
14 years 11 months ago
2004
This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...
GMP
2006
IEEE
15 years 4 months ago
2006
IEEE
Proper treatment of selections is essential in parametric feature-based design. Data exchange is one of the most important operators in any design paradigm. In this paper we addre...
ICPR
2004
IEEE
15 years 11 months ago
2004
IEEE
Feature subset selection, applied as a pre-processing step to machine learning, is valuable in dimensionality reduction, eliminating irrelevant data and improving classifier perfo...
119
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ICML
2000
IEEE
15 years 10 months ago
2000
IEEE
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...
SDM
2009
SIAM
15 years 7 months ago
2009
SIAM
Latent Semantic Indexing (LSI) has been validated to be effective on many small scale text collections. However, little evidence has shown its effectiveness on unsampled large sca...