Variational Bayes Inference for Logic-Based Probabilistic Models on BDDs.
Masakazu IshihataYoshitaka KameyaTaisuke SatoPublished in: ILP (2011)
Keyphrases
- variational bayes
- probabilistic model
- bayesian inference
- latent variables
- hyperparameters
- graphical models
- generative model
- expectation maximization
- language model
- mixture model
- expectation propagation
- hidden variables
- gaussian mixture model
- bayesian networks
- variational inference
- posterior distribution
- approximate inference
- conditional random fields
- topic models
- bayesian learning
- conditional probabilities
- free energy
- posterior probability
- gaussian process
- exact inference
- exponential family
- latent dirichlet allocation
- log likelihood
- probabilistic inference
- knowledge representation
- parameter settings