Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines.
Guillaume DesjardinsAaron C. CourvilleYoshua BengioPascal VincentOlivier DelalleauPublished in: AISTATS (2010)
Keyphrases
- restricted boltzmann machine
- markov chain monte carlo
- loopy belief propagation
- conditional random fields
- deep learning
- markov chain
- posterior distribution
- approximate inference
- generative model
- probabilistic graphical models
- parameter estimation
- monte carlo
- posterior probability
- particle filter
- learning algorithm
- graphical models
- bayesian inference
- simulated annealing
- data association
- semi supervised
- latent variables
- text mining
- transfer learning
- particle filtering
- supervised learning
- probabilistic model
- graph cuts
- training set
- feature space
- reinforcement learning
- bayesian networks
- image segmentation