Adaptive Sparse Bayesian Regression with Variational Inference for Parameter Estimation.
Satoru KodaPublished in: S+SSPR (2016)
Keyphrases
- parameter estimation
- variational inference
- posterior distribution
- model selection
- approximate inference
- gaussian process
- maximum likelihood
- least squares
- regression model
- exact inference
- markov random field
- variational methods
- statistical models
- mixture model
- random fields
- bayesian inference
- probabilistic graphical models
- hyperparameters
- expectation maximization
- markov chain monte carlo
- em algorithm
- exponential family
- machine learning
- probabilistic model
- support vector
- latent dirichlet allocation
- computer vision
- factor graphs
- feature selection
- parameter learning
- structure learning
- markov networks
- graphical models
- energy function
- topic models