61 search results - page 10 / 13 » Feature Similarity Based Redundancy Reduction for Gene Selec... |
CIKM
2009
Springer
15 years 1 months ago
2009
Springer
Feature weighting or selection is a crucial process to identify an important subset of features from a data set. Removing irrelevant or redundant features can improve the generali...
77
Voted
BMCBI
2007
14 years 9 months ago
2007
Background: A combination of multiple types of transcription factors and cis-regulatory elements is often required for gene expression in eukaryotes, and the combinatorial regulat...
BMCBI
2007
14 years 9 months ago
2007
Background: Accurate selection of splice sites during the splicing of precursors to messenger RNA requires both relatively well-characterized signals at the splice sites and auxil...
113
Voted
ALMOB
2007
14 years 9 months ago
2007
Background: Feature selection plays an undeniably important role in classification problems involving high dimensional datasets such as microarray datasets. For filter-based featu...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
The success of tensor-based subspace learning depends heavily on reducing correlations along the column vectors of the mode-k flattened matrix. In this work, we study the problem ...