Bayesian Active Learning for Discrete Latent Variable Models.
Aditi JhaZoe C. AshwoodJonathan W. PillowPublished 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