Peter M. Williams

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Probabilistic Learning Models

Peter M. Williams, P. Williams, 2001 .

An interpretation of Shenoy and Shafer's axioms for local computation

Peter M. Williams, 1990, Int. J. Approx. Reason..

Modelling Seasonality and Trends in Daily Rainfall Data

Peter M. Williams, P. Williams, 1997, NIPS.

Matrix logarithm parametrizations for neural network covariance models

Peter M. Williams, P. Williams, 1999, Neural Networks.

Image Compression for Neural Networks using Chebyshev Polynomials

Peter M. Williams, 1992 .

Aeromagnetic compensation using neural networks

Peter M. Williams, P. Williams, 1993, Neural Computing & Applications.

Bayesian Regularization and Pruning Using a Laplace Prior

Peter M. Williams, P. Williams, 1995, Neural Computation.