3467 search results - page 25 / 694 » Streamwise Feature Selection |
ICML
2004
IEEE
14 years 10 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...
PKDD
2009
Springer
14 years 4 months ago
2009
Springer
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
CRV
2005
IEEE
14 years 3 months ago
2005
IEEE
The extraction of optimal features, in a classification sense, is still quite challenging in the context of large-scale classification problems (such as visual recognition), inv...
TREC
2004
13 years 11 months ago
2004
We approached the problem of classifying papers for the TREC 2004 Genomics Track triage task as a four step process: feature generation, feature selection, classifier training, an...
ICPR
2006
IEEE
14 years 11 months ago
2006
IEEE
We present a framework that enables the use of traditional feature selection algorithms in a new context - for building a set of subsets of specified properties. During the course...