On the Hierarchical Bernoulli Mixture Model Using Bayesian Hamiltonian Monte Carlo.
Wahyuni SuryaningtyasNur IriawanHeri KuswantoIsmaini ZainPublished in: Symmetry (2021)
Keyphrases
- mixture model
- monte carlo
- maximum likelihood
- monte carlo methods
- unsupervised learning
- gaussian mixture model
- em algorithm
- probabilistic model
- expectation maximization
- generative model
- markov chain
- markov chain monte carlo
- density estimation
- model selection
- variational inference
- generalized em algorithm
- bayesian nonparametric
- mixture modeling
- monte carlo tree search
- probability density function
- language model
- bayesian inference
- dirichlet process
- exponential family
- posterior probability
- particle filter
- maximum a posteriori
- bayesian learning
- parameter estimation
- bayesian networks
- gaussian processes
- approximate inference
- machine learning
- computer vision