Boosting prior knowledge in streaming variational Bayes.

Duc Anh Nguyen Ngo Van Linh Nguyen Kim Anh Canh Hao Nguyen Khoat Than

Published in: Neurocomputing (2021)

Keyphrases

variational bayes
prior knowledge
latent variables
hyperparameters
bayesian inference
bayesian framework
posterior distribution
prior information

gaussian mixture model
data streams
free energy
probabilistic model
bayesian learning
exponential family
learning algorithm
latent dirichlet allocation

model selection
gaussian process
topic models
log likelihood
cross validation
random variables
hidden variables
co occurrence

approximate inference
feature selection
machine learning
generative model
markov chain monte carlo
competitive learning
support vector
monte carlo