Bayesian Active Learning for Discrete Latent Variable Models.

Aditi Jha Zoe C. Ashwood Jonathan W. Pillow

Published in: CoRR (2022)

Keyphrases

latent variable models
active learning
latent variables
posterior distribution
real valued
training examples
hidden markov models

hidden variables
bayesian learning
machine learning
latent dirichlet allocation
bayesian networks
learning algorithm
maximum likelihood

bayesian inference
probabilistic model
learning problems
random sampling
semi supervised
discriminative learning
learning process

training set
posterior probability
random variables
parameter estimation
decision trees
labeled data