InClass nets: independent classifier networks for nonparametric estimation of conditional independence mixture models and unsupervised classification.
Konstantin T. MatchevPrasanth ShyamsundarPublished in: Mach. Learn. Sci. Technol. (2022)
Keyphrases
- mixture model
- conditional independence
- unsupervised classification
- unsupervised learning
- nonparametric estimation
- supervised classification
- bayesian networks
- graphical models
- probabilistic model
- probability density function
- gaussian mixture model
- random variables
- density estimation
- em algorithm
- feature selection
- expectation maximization
- probability distribution
- probability density
- data clustering
- training data
- structure learning
- generative model
- language model
- directed acyclic graph
- causal models
- model selection
- maximum likelihood
- supervised learning
- clustering ensemble
- semi supervised
- decision trees
- semi supervised learning
- pairwise
- class labels
- feature space
- gaussian mixture
- dimensionality reduction
- hyperspectral images
- high dimensional
- data sets