期刊
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
卷 32, 期 7, 页码 1342-1343出版社
IEEE COMPUTER SOC
DOI: 10.1109/TPAMI.2010.62
关键词
Feature selection; entropy; mutual information; Bayes classification error; entropy estimation
资金
- Louisiana Board of Regents [LEQSF (2007-12)-ENH-PKSFI-PRS-03]
We derive the feature selection criterion presented in [1] and [2] from the multidimensional mutual information between features and the class. Our derivation: 1) specifies and validates the lower-order dependency assumptions of the criterion and 2) mathematically justifies the utility of the criterion by relating it to Bayes classification error.
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