Particle-Gibbs Sampling For Bayesian Feature Allocation Models.

Alexandre Bouchard-Côté Andrew Roth

Published in: CoRR (2020)

Keyphrases

gibbs sampling
dirichlet process mixture
probabilistic model
parameter estimation
markov chain monte carlo
neural network
image segmentation
markov chain
model selection
machine learning
learning algorithm
prior knowledge
posterior probability
belief networks
latent dirichlet allocation