InClass Nets: Independent Classifier Networks for Nonparametric Estimation of Conditional Independence Mixture Models and Unsupervised Classification.
Konstantin T. MatchevPrasanth ShyamsundarPublished in: CoRR (2020)
Keyphrases
- maximum likelihood estimation
- mixture model
- conditional independence
- unsupervised classification
- em algorithm
- expectation maximization
- nonparametric estimation
- unsupervised learning
- maximum likelihood
- probability density
- probability distribution
- supervised classification
- bayesian networks
- probability density function
- gaussian mixture model
- probabilistic model
- random variables
- density estimation
- graphical models
- structure learning
- generative model
- data clustering
- density function
- gaussian mixture
- clustering ensemble
- directed acyclic graph
- supervised learning
- k means
- feature selection
- learning algorithm
- language model
- maximum a posteriori
- text mining
- causal models
- training data
- image processing
- model selection
- feature space
- semi supervised
- semi supervised learning
- machine learning
- training set