962 search results - page 61 / 193 » Redundancy based feature selection for microarray data |
PAMI
2006
14 years 9 months ago
2006
Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...
CVPR
2012
IEEE
13 years 6 days ago
2012
IEEE
The problem of simultaneous feature extraction and selection, for classifier design, is considered. A new framework is proposed, based on boosting algorithms that can either 1) s...
FUZZIEEE
2007
IEEE
15 years 4 months ago
2007
IEEE
Abstract— Feature Selection (FS) is a technique for dimensionality reduction. Its aims are to select a subset of the original features of a dataset which are rich in the most use...
CORR
2002
Springer
14 years 9 months ago
2002
Springer
Mutual information is widely used in artificial intelligence, in a descriptive way, to measure the stochastic dependence of discrete random variables. In order to address question...
BMCBI
2007
14 years 10 months ago
2007
Background: Microarray co-expression signatures are an important tool for studying gene function and relations between genes. In addition to genuine biological co-expression, corr...