A multilevel search algorithm for feature selection in biomedical data
The automated analysis of patients’ biomedical data can be used to derive diagnostic and prognostic inferences about the observed patients. Many noninvasive techniques for acquiring biomedical samples generate data that are characterized by a large number of distinct attributes (i.e. features) and a...
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| Language: | en_US |
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2006
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| Online Access: | http://hdl.handle.net/1993/238 |