2543 search results - page 22 / 509 » Using PageRank in Feature Selection |
141
Voted
SSPR
2004
Springer
15 years 7 months ago
2004
Springer
This paper presents an optimized Hill Climbing algorithm to select a subset of features for handwritten character recognition. The search is conducted taking into account a random ...
141
Voted
TCBB
2010
15 years 7 days ago
2010
—Gene expression data usually contain a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes that best...
97
Voted
GECCO
2008
Springer
15 years 2 months ago
2008
Springer
This paper introduces two new algorithms to reduce the number of objectives in a multiobjective problem by identifying the most conflicting objectives. The proposed algorithms ar...
109
Voted
ICPR
2004
IEEE
16 years 3 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...
115
Voted
ICASSP
2008
IEEE
15 years 8 months ago
2008
IEEE
Missing data techniques have been recently applied to speaker recognition to increase performance in noisy environments. The drawback of these techniques is the vulnerability of t...