title: Neural network classification: a Bayesian interpretation.
abstract: The relationship between minimizing a mean squared error and finding the optimal Bayesian classifier is reviewed. This provides a theoretical interpretation for the process by which neural networks are used in classification. A number of confidence measures are proposed to evaluate the performance of the neural network classifier within a statistical framework.
authors.affiliation: Dept. of Electr. Eng., Stanford Univ., CA.
authors.forename: E A
authors.initials: EA
authors.lastname: Wan