Model Selection of Bayesian Hierarchical Mixture of Experts based on Variational Inference.
Yuji IikuboShunsuke HoriiToshiyasu MatsushimaPublished in: SMC (2019)
Keyphrases
- model selection
- variational inference
- mixture model
- posterior distribution
- bayesian nonparametric
- hyperparameters
- gaussian process
- bayesian learning
- parameter estimation
- cross validation
- gaussian mixture model
- dirichlet process
- bayesian inference
- regression model
- unsupervised learning
- density estimation
- exponential family
- sample size
- gaussian processes
- machine learning
- probability density function
- bayesian methods
- statistical learning
- approximate inference
- generalization error
- motion segmentation
- probabilistic model
- topic models
- latent dirichlet allocation
- em algorithm
- maximum likelihood
- language model
- bayesian networks
- feature selection