Issue No. 07 - July (2010 vol. 32)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TPAMI.2010.62
Kiran S. Balagani , Louisiana Tech University, Ruston
Vir V. Phoha , Louisiana Tech University, Ruston
We derive the feature selection criterion presented in [CHECK END OF SENTENCE] and [CHECK END OF SENTENCE] 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.
Feature selection, entropy, mutual information, Bayes classification error, entropy estimation.
V. V. Phoha and K. S. Balagani, "On the Feature Selection Criterion Based on an Approximation of Multidimensional Mutual Information," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 32, no. , pp. 1342-1343, 2010.