Combining evolution strategy and gradient descent method for discriminative learning of bayesian classifiers

Abstract

The optimization method is one of key issues in discriminative learning of pattern classifiers. This paper proposes a hybrid approach of the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) and the gradient decent method for optimizing Bayesian classifiers under the SOFT target based Max-Min posterior Pseudo-probabilities (Soft-MMP) learning… (More)
DOI: 10.1145/1569901.1569972

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