Variational Bayes via propositionalized probability computation in PRISM.

Taisuke Sato Yoshitaka Kameya Kenichi Kurihara

Published in: Ann. Math. Artif. Intell. (2008)

Keyphrases

variational bayes
bayesian inference
hyperparameters
latent variables
bayesian learning
probability distribution
latent dirichlet allocation
gaussian mixture model
posterior distribution
free energy
exponential family
model selection
log likelihood
neural network
probabilistic model
maximum likelihood