John W. Miller

A Rule-Based Approach to Neural Network Classifiers

Padhraic Smyth, Rodney M. Goodman, John W. Miller, 1990 .

Objective functions for probability estimation

Padhraic Smyth, R. Goodman, John W. Miller, 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

Rule-Based Neural Networks for Classification and Probability Estimation

Padhraic Smyth, Rodney M. Goodman, Charles M. Higgins, 1992, Neural Computation.

A Polynomial Time Algorithm for Finding Bayesian Probabilities from Marginal Constraints pdf

Rodney M. Goodman, John W. Miller, R. Goodman, 2013, ArXiv.

Probability Estimator from a Database Using a Gibbs Energy Model

Rodney M. Goodman, John W. Miller, R. Goodman, 1992, NIPS.

On loss functions which minimize to conditional expected values and posterior proba- bilities

Padhraic Smyth, Rodney M. Goodman, John W. Miller, 1993, IEEE Trans. Inf. Theory.