5046 search results - page 83 / 1010 » Feature Selection from Huge Feature Sets |
195
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TCBB
2010
15 years 4 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...
162
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ESANN
2007
15 years 7 months ago
2007
A new efficient unsupervised feature selection method is proposed to handle transactional data. The proposed feature selection method introduces a new Data Distribution Factor (DDF...
174
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ICIP
2002
IEEE
16 years 8 months ago
2002
IEEE
We recently proposed a method to find cluster structure in home videos based on statistical models of visual and temporal features of video segments and sequential binary Bayesian...
143
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PKDD
2009
Springer
16 years 27 days ago
2009
Springer
Abstract. Partially ordered feature sets appear naturally in many classification settings with structured input instances, for example, when the data instances are graphs and a fe...
174
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ACL
2008
15 years 7 months ago
2008
Statistical machine learning methods are employed to train a Named Entity Recognizer from annotated data. Methods like Maximum Entropy and Conditional Random Fields make use of fe...