M
Michael D. Richard
Researcher at Massachusetts Institute of Technology
Publications - 1
Citations - 1140
Michael D. Richard is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Bayesian statistics & Bayesian probability. The author has an hindex of 1, co-authored 1 publications receiving 1098 citations.
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Neural Network Classifiers Estimate Bayesian a posteriori Probabilities.
TL;DR: Results of Monte Carlo simulations performed using multilayer perceptron (MLP) networks trained with backpropagation, radial basis function (RBF) networks, and high-order polynomial networks graphically demonstrate that network outputs provide good estimates of Bayesian probabilities.