Bayesian Neural Networks and Density Networks (1994)

by David J.C. MacKay
Venue:Nuclear Instruments and Methods in Physics Research, A
Citations:46 - 7 self

Active Bibliography

515 The Infinite Hidden Markov Model – Matthew J. Beal, Zoubin Ghahramani, Carl E. Rasmussen - 2002
903 A tutorial on learning with Bayesian networks – David Heckerman - 1995
623 Sparse Bayesian Learning and the Relevance Vector Machine – Michael E. Tipping, Alex Smola - 2001
594 Probabilistic Inference Using Markov Chain Monte Carlo Methods – Radford M. Neal - 1993
510 Sequential Monte Carlo Methods for Dynamic Systems – Jun S. Liu, Rong Chen - 1998
953 Learning Bayesian networks: The combination of knowledge and statistical data – David Heckerman, David M. Chickering - 1995
1140 A Bayesian method for the induction of probabilistic networks from data – Gregory F. Cooper, EDWARD HERSKOVITS - 1992
598 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
764 Hierarchical mixtures of experts and the EM algorithm – Michael I. Jordan - 1994