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Integer Partition Problem: Theoretical Approach to Improving Accuracy of Classifier Ensembles

Michael Khachay, Maria Pobery, Daniel Khachay

Abstract


New results (along with rigorous proofs) confirming the connection between the principle of structural risk minimization and theoretical combinatorics are presented. In particular, a new special subclass of the well known Integer Partition Problem is introduced. Close relation of this subclass to pruning procedures of ensemble classifiers is proved.

Keywords


pruning, ensemble classifiers, computational learning theory.

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