962 search results - page 56 / 193 » Redundancy based feature selection for microarray data |
BMCBI
2004
14 years 9 months ago
2004
Background: One of the important challenges in microarray analysis is to take full advantage of previously accumulated data, both from one's own laboratory and from public re...
NLPRS
2001
Springer
15 years 2 months ago
2001
Springer
This paper presents an empirical study for improving the performance of text chunking. We focus on two issues: the problem of selecting feature spaces, and the problem of alleviat...
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ICML
2000
IEEE
15 years 10 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...
IPMU
2010
Springer
14 years 8 months ago
2010
Springer
Abstract. In this paper we introduce a new approach to automatic attribute and granularity selection for building optimum regression trees. The method is based on the minimum descr...
BMCBI
2006
14 years 9 months ago
2006
Background: Overfitting the data is a salient issue for classifier design in small-sample settings. This is why selecting a classifier from a constrained family of classifiers, on...