A new method for example-dependent cost (EDC) classification is proposed. The constitutes an extension of a recently introduced training algorithm neural networks. surrogate function estimate the Bayesian risk, where estimates conditional probabilities each class are defined in terms 1-D Parzen window estimator output (discriminative) This probability density modeled with objective allowing eas...