Variational Bayesian Inference for Multinomial Dirichlet Gaussian Process Classification Model.
Wanhyun ChoSoon Ja KangSangkyoon KimSoon-Young ParkPublished in: CSA/CUTE (2015)
Keyphrases
- gaussian process
- variational bayesian inference
- em algorithm
- hyperparameters
- expectation maximization
- latent dirichlet allocation
- gaussian processes
- bayesian analysis
- bayesian framework
- generative model
- topic models
- mixture model
- regression model
- latent variables
- parameter estimation
- maximum likelihood
- model selection
- probabilistic model
- approximate inference
- text classification
- semi supervised
- maximum a posteriori
- variational inference
- exponential family
- machine learning
- posterior distribution
- incomplete data
- probability density function
- information retrieval
- data mining
- cross validation
- log likelihood
- higher order
- image segmentation