Generalized spike-and-slab priors for Bayesian group feature selection using expectation propagation.
Daniel Hernández-LobatoJosé Miguel Hernández-LobatoPierre DupontPublished in: J. Mach. Learn. Res. (2013)
Keyphrases
- expectation propagation
- automatic relevance determination
- feature selection
- bayesian inference
- gaussian process
- gaussian process classification
- approximate inference
- prior distribution
- bayesian methods
- bayesian framework
- density estimation
- marginal likelihood
- prior information
- posterior distribution
- model selection
- missing data
- variational bayes
- gaussian processes
- feature extraction
- latent variables
- machine learning
- bayesian networks
- maximum a posteriori
- graphical models
- probabilistic model
- hyperparameters
- support vector
- prior knowledge
- feature vectors
- posterior probability
- belief propagation
- image reconstruction
- parameter estimation
- loopy belief propagation
- graph cuts
- higher order