5 search results - page 1 / 1 » Correlation-based Feature Selection for Discrete and Numeric... |
ICML
2000
IEEE
14 years 5 months ago
2000
IEEE
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
Text categorization algorithms usually represent documents as bags of words and consequently have to deal with huge numbers of features. Most previous studies found that the major...
ECML
2006
Springer
13 years 8 months ago
2006
Springer
Abstract We propose in this paper a novel approach to the classification of discrete sequences. This approach builds a model fitting some dynamical features deduced from the learni...
BMCBI
2006
13 years 4 months ago
2006
Background: In class prediction problems using microarray data, gene selection is essential to improve the prediction accuracy and to identify potential marker genes for a disease...
BMCBI
2007
13 years 4 months ago
2007
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...