3507 search results - page 51 / 702 » Feature selection toolbox |
123
click to vote
GRC
2010
IEEE
14 years 12 months ago
2010
IEEE
Given high-dimensional software measurement data, researchers and practitioners often use feature (metric) selection techniques to improve the performance of software quality clas...
126
click to vote
ICPR
2004
IEEE
16 years 3 months ago
2004
IEEE
In this article we describe an algorithm for feature selection and gene clustering from high dimensional gene expression data. The method is based on measuring similarity between ...
113
click to vote
ICML
2003
IEEE
16 years 2 months ago
2003
IEEE
Feature selection, as a preprocessing step to machine learning, has been effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and improvin...
ECML
1998
Springer
15 years 6 months ago
1998
Springer
Feature selection is a problem of choosing a subset of relevant features. Researchers have been searching for optimal feature selection methods. `Branch and Bound' and Focus a...
ICPR
2010
IEEE
15 years 5 months ago
2010
IEEE
Appropriate feature selection is a very crucial issue in any machine learning framework, specially in Maximum Entropy (ME). In this paper, the selection of appropriate features for...