Bayesian Mixture Modeling by Monte Carlo Simulation (1991)

Cached

Download Links

by Radford Neal
Citations:28 - 0 self

Active Bibliography

7 Prior Information and Generalized Questions – Jörg C. Lemm - 1996
1 Divide and Conquer: Pattern Recognition using Mixtures of Experts – Steve Waterhouse, Steve Waterhouse - 1997
86 Bayesian Methods for Hidden Markov Models -- Recursive Computing in the 21st Century – Steven L. Scott - 2002
222 An Introduction to MCMC for Machine Learning – Christophe Andrieu - 2003
18 Data Filtering and Distribution Modeling Algorithms for Machine Learning – Yoav Freund, Manfred K. Warmuth, David Haussler, David P. Helmbold - 1993
3 Learning Bayesian Networks for Solving Real-World Problems – Moninder Singh - 1998
12 Learning stochastic feedforward networks – Radford M. Neal - 1990
10 Predictive Data Mining with Finite Mixtures – Petri Kontkanen, Petri Myllymäki, Henry Tirri - 1996
1 A Short History of Markov Chain Monte Carlo: Subjective Recollections from Incomplete Data 1 – Christian Robert
10 A Forward Monte Carlo Method for Solving Influence Diagrams Using Local Computation – John M. Charnes, Prakash P. Shenoy - 2000
49 Multiple Regimes in Northern Hemisphere Height Fields via Mixture Model Clustering – Padhraic Smyth, Michael Ghil, Kayo Ide - 1998
3 A Theory for Dynamic Weighting in Monte Carlo Computation – Jun S. Liu, Faming Liang, Wing Hung Wong - 2001
1 Dynamic Weighting In Markov Chain Monte Carlo – Jun S. Liu, Faming Liang, Wing Hung Wong - 1998
10 Probabilistic data analysis: an introductory guide – John Skilling - 1998
7 Continuous Contour Monte Carlo for Marginal Density Estimation with an Application to Spatial Statistical Model – Faming Liang - 2006
54 Location-based activity recognition – Lin Liao, Dieter Fox, Henry Kautz - 2005
58 Learning from incomplete data – Zoubin Ghahramani, Michael I. Jordan - 1994
Bayesian Modelling in Machine Learning: A Tutorial Review – Matthias Seeger - 2009
16 Bayesian Enhancement of Speech and Audio Signals which can be Modelled as ARMA Processes – Simon Godsill - 1997