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The top documents tagged [posterior distribution]
Alex Lewin Sylvia Richardson (IC Epidemiology) Tim Aitman (IC Microarray Centre) Philippe Broët (INSERM, Paris) In collaboration with Anne-Mette Hein,
215 views
Bayesian mixture models for analysing gene expression data Natalia Bochkina In collaboration with Alex Lewin, Sylvia Richardson, BAIR Consortium Imperial
217 views
NCeSS e-Stat quantitative node Prof. William Browne & Prof. Jon Rasbash University of Bristol
217 views
Introduction to Bayesian inference and computation for social science data analysis Nicky Best Imperial College, London
244 views
1 MCMC Estimation MCMC = Markov chain Monte Carlo an alternative approach to estimating models
223 views
The Helmholtz Machine P Dayan, GE Hinton, RM Neal, RS Zemel Computational Modeling of Intelligence 11.04.22.(Fri) Summarized by Joon Shik Kim
215 views
2007 NIPS Tutorial on: Deep Belief Nets Geoffrey Hinton Canadian Institute for Advanced Research & Department of Computer Science University of Toronto
214 views
CSC321 Introduction to Neural Networks and Machine Learning Lecture 21 Using Boltzmann machines to initialize backpropagation Geoffrey Hinton
239 views
Chinese Restaurants and Stick-Breaking: An Introduction to the Dirichlet Process Teg Grenager NLP Group Lunch February 24, 2005
255 views
Topic models Source: Topic models, David Blei, MLSS 09
228 views
Frank Wood -
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Gentle Introduction to Infinite Gaussian Mixture Modeling … with an application in neuroscience By Frank Wood Rasmussen,
270 views
Markov Chain Sampling Methods for Dirichlet Process Mixture Models R.M. Neal Summarized by Joon Shik Kim 12.03.15.(Thu) Computational Models of Intelligence
231 views
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