1382 search results - page 31 / 277 » An Experimental Study on Feature Subset Selection Methods |
138
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AE
2007
Springer
15 years 10 months ago
2007
Springer
Classification of microarray data requires the selection of a subset of relevant genes in order to achieve good classification performance. Several genetic algorithms have been d...
133
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JUCS
2008
15 years 3 months ago
2008
: Feature selection methods are often applied in the context of document classification. They are particularly important for processing large data sets that may contain millions of...
143
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FSKD
2005
Springer
15 years 9 months ago
2005
Springer
Abstract. In the artificial neural networks (ANNs), feature selection is a wellresearched problem, which can improve the network performance and speed up the training of the networ...
157
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CSIE
2009
IEEE
15 years 10 months ago
2009
IEEE
The paper presents an evaluation of four clustering algorithms: k-means, average linkage, complete linkage, and Ward’s method, with the latter three being different hierarchical...
141
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CIKM
2008
Springer
15 years 5 months ago
2008
Springer
Most approaches for protein interaction mining from biomedical texts use both lexical and syntactic features. However, the individual impact of these two kinds of features on the ...