Sparse Bayesian learning using variational Bayes inference based on a greedy criterion.
Mohammad ShekaramizTodd K. MoonJacob H. GuntherPublished in: ACSSC (2017)
Keyphrases
- variational bayes
- sparse bayesian learning
- bayesian inference
- latent variables
- hyperparameters
- bayesian learning
- latent dirichlet allocation
- posterior distribution
- gaussian mixture model
- free energy
- exponential family
- feature selection
- closed form
- log likelihood
- probabilistic model
- em algorithm
- gaussian process
- support vector
- model selection
- markov networks
- markov chain monte carlo
- mixture model
- variational methods
- graphical models
- maximum likelihood
- pairwise
- parameter estimation