1583 search results - page 54 / 317 » Stability of Feature Selection Algorithms |
126
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KDD
2010
ACM
15 years 3 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
104
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CIKM
2011
Springer
13 years 11 months ago
2011
Springer
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...
120
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ICIP
2003
IEEE
16 years 1 months ago
2003
IEEE
We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...
111
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TPDS
2010
14 years 6 months ago
2010
Publish/subscribe systems provide useful platforms for delivering data (events) from publishers to subscribers in a decoupled fashion. Developing efficient publish/subscribe scheme...
116
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TCBB
2010
14 years 10 months ago
2010
—Gene expression data usually contain a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes that best...