3507 search results - page 90 / 702 » Feature selection toolbox |
122
Voted
RSFDGRC
2005
Springer
15 years 8 months ago
2005
Springer
Abstract. We present a study on a rough set based approach for feature selection. Instead of using significance or support, Parameterized Average Support Heuristic (PASH) consider...
153
Voted
ICDM
2002
IEEE
15 years 7 months ago
2002
IEEE
In view of the substantial number of existing feature selection algorithms, the need arises to count on criteria that enables to adequately decide which algorithm to use in certai...
145
Voted
ICTAI
1992
IEEE
15 years 6 months ago
1992
IEEE
This paper describes an approach being explored to improve the usefulness of machine learning techniques for generating classification rules for complex, real world data. The appr...
90
Voted
ESANN
2006
15 years 4 months ago
2006
The paper presents and compares the data mining techniques for selection of the diagnostic features in the problem of blood cell recognition in leukemia. Different techniques are c...
124
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CORR
2007
Springer
15 years 2 months ago
2007
Springer
In this paper, we study the application of sparse principal component analysis (PCA) to clustering and feature selection problems. Sparse PCA seeks sparse factors, or linear combi...