Decomposed Normalized Maximum Likelihood Codelength Criterion for Selecting Hierarchical Latent Variable Models.
Tianyi WuShinya SugawaraKenji YamanishiPublished in: KDD (2017)
Keyphrases
- latent variable models
- normalized maximum likelihood
- latent variables
- minimum description length
- real valued
- latent dirichlet allocation
- hidden markov models
- learning problems
- hidden variables
- change point detection
- pairwise
- topic models
- data sets
- generative model
- text mining
- prior knowledge
- latent space
- feature space
- image processing
- feature selection