Bayesian nonparametric priors for hidden Markov random fields.
Hongliang LüJulyan ArbelFlorence ForbesPublished in: Stat. Comput. (2020)
Keyphrases
- bayesian nonparametric
- hidden markov random fields
- mixture model
- expectation maximization
- dirichlet process
- gaussian process
- bayesian framework
- inverse reinforcement learning
- probabilistic model
- variational inference
- semi supervised clustering
- em algorithm
- maximum a posteriori
- gaussian processes
- multi task learning
- bayesian inference
- prior information
- generative model
- hyperparameters
- preference elicitation
- k means
- prior knowledge
- posterior distribution
- multi task
- image segmentation
- latent dirichlet allocation
- pairwise constraints
- learning problems
- learning tasks
- semi supervised learning
- optical flow
- multi class
- unsupervised learning
- maximum likelihood