5046 search results - page 67 / 1010 » Feature Selection from Huge Feature Sets |
194
click to vote
ICANN
2009
Springer
15 years 4 months ago
2009
Springer
Different algorithms have been proposed in the literature to cluster gene expression data, however there is no single algorithm that can be considered the best one independently on...
161
click to vote
ACIVS
2009
Springer
16 years 28 days ago
2009
Springer
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
178
click to vote
BMCBI
2004
15 years 6 months ago
2004
Background: A central challenge in the molecular diagnosis and treatment of cancer is to define a set of molecular features that, taken together, distinguish a given cancer, or ty...
187
click to vote
FUIN
2010
15 years 1 months ago
2010
Machine learning methods are often used to classify objects described by hundreds of attributes; in many applications of this kind a great fraction of attributes may be totally irr...
180
click to vote
CIBCB
2005
IEEE
15 years 12 months ago
2005
IEEE
Feature selection is an important preprocessing technique for many pattern recognition problems. When the number of features is very large while the number of samples is relatively...