Bayesian inference with posterior regularization and applications to infinite latent SVMs.
Jun ZhuNing ChenEric P. XingPublished in: J. Mach. Learn. Res. (2014)
Keyphrases
- bayesian inference
- probabilistic model
- prior information
- latent variables
- hyperparameters
- posterior distribution
- support vector
- markov chain monte carlo
- regularization parameter
- gaussian process
- bayesian model
- statistical inference
- multi class
- markov networks
- variational inference
- maximum margin
- hidden variables
- feature selection
- hierarchical bayesian
- training set
- machine learning
- bayesian framework
- variational bayes
- kernel function
- gibbs sampler
- posterior probability
- bayesian networks
- prior knowledge
- probability distribution
- graphical models
- bayesian models
- approximate inference
- generative model
- gaussian processes
- support vector machine
- variational approximation
- training data
- expectation propagation
- reproducing kernel hilbert space
- mixture model
- conditional probabilities
- particle filter
- regularization term
- expectation maximization
- image reconstruction
- decision trees
- hyperplane