Latent Variable Bayesian Models for Promoting Sparsity.
David P. WipfBhaskar D. RaoSrikantan S. NagarajanPublished in: IEEE Trans. Inf. Theory (2011)
Keyphrases
- latent variables
- bayesian models
- probabilistic model
- prior knowledge
- posterior distribution
- bayesian model
- variational inference
- bayesian inference
- topic models
- gaussian process
- random variables
- bayesian classifier
- statistical models
- bayesian framework
- real valued
- approximate inference
- hidden variables
- probabilistic graphical models
- high dimensional
- graphical models
- mixture model
- structured prediction
- exact inference
- factor graphs
- prior information
- human cognition
- neural network
- generative model
- bayesian networks
- posterior probability
- bayesian methods
- conditional probabilities
- expectation maximization
- machine learning