Regularised maximum-likelihood inference of mixture of experts for regression and clustering.
Bao Tuyen HuynhFaicel ChamroukhiPublished in: ESANN (2018)
Keyphrases
- maximum likelihood
- gaussian distribution
- expectation maximization
- clustering algorithm
- k means
- mixture model
- clustering method
- mixture modeling
- multi variate
- regression model
- bayesian networks
- gaussian mixture model
- exponential family
- unsupervised learning
- parameter learning
- data clustering
- maximum likelihood estimation
- document clustering
- cluster analysis
- self organizing maps
- em algorithm
- parameter estimation
- spectral clustering
- maximum a posteriori
- probabilistic inference
- support vector regression
- regression problems
- data points
- variational bayes
- predictive clustering trees
- support vector
- hidden markov models
- dirichlet process
- model selection
- generative model
- density estimation