Bayesian radial basis functions of variable dimension

Minimum-Entropy Data Partitioning Using Reversible Jump Markov Chain Monte Carlo

IEEE Transactions on Pattern Analysis and Machine Intelligence

Dynamic Learning with the EM Algorithm for Neural Networks

Journal of VLSI Signal Processing Systems

Nonparametric regression using linear combinations of basis functions

Statistics and Computing

Minimum-Entropy Data Clustering Using Reversible Jump Markov Chain Monte Carlo

ICANN '01 Proceedings of the International Conference on Artificial Neural Networks

Learning a multivariate Gaussian mixture model with the reversible jump MCMC algorithm

Statistics and Computing

Bayesian neural networks for nonlinear time series forecasting

Statistics and Computing

Bayesian Analysis of Nonlinear Autoregression Models Based on Neural Networks

Neural Computation

Robust Full Bayesian Learning for Radial Basis Networks

Neural Computation

Neural network models for conditional distribution under bayesian analysis

Neural Computation

Bayesian inference on principal component analysis using reversible jump Markov chain Monte Carlo

AAAI'04 Proceedings of the 19th national conference on Artifical intelligence

Reversible jump MCMC simulated annealing for neural networks

UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence

Bayesian radial basis function neural network

IDEAL'05 Proceedings of the 6th international conference on Intelligent Data Engineering and Automated Learning