Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach.
Weipéng HuángNishma LaitonjamGuangyuan PiaoNeil J. HurleyPublished in: PAKDD (3) (2021)
Keyphrases
- bayesian nonparametric
- pitman yor process
- mixture model
- inverse reinforcement learning
- gaussian process
- hierarchical dirichlet process
- variational inference
- dirichlet process
- hidden markov models
- gaussian mixture model
- unsupervised manner
- latent dirichlet allocation
- density estimation
- topic models
- dynamic bayesian networks
- bayesian networks
- machine learning
- regression model
- gaussian processes
- unsupervised learning
- level set
- language model
- dynamic programming
- support vector
- feature selection