-Regularized Sparsity for Probabilistic Mixture Models.
Dzung T. PhanTsuyoshi IdéPublished in: SDM (2019)
Keyphrases
- mixture model
- generative model
- probabilistic model
- gaussian mixture model
- generalized em algorithm
- density estimation
- em algorithm
- language model
- mixture modeling
- model selection
- unsupervised learning
- finite mixtures
- finite mixture models
- expectation maximization
- maximum likelihood
- graphical models
- automatic model selection
- latent variables
- minimum message length
- high dimensional
- bayesian networks
- machine learning
- bayesian framework
- semi supervised