Hierarchical Mixtures of Experts and the EM Algorithm.
Michael I. JordanRobert A. JacobsPublished in: Neural Comput. (1994)
Keyphrases
- em algorithm
- expectation maximization
- mixture model
- gaussian mixture
- maximum likelihood
- gaussian mixture model
- maximum likelihood estimation
- mixture distribution
- likelihood function
- parameter estimation
- generative model
- probabilistic model
- mixture components
- unsupervised learning
- log likelihood
- density estimation
- maximum a posteriori
- incomplete data
- mixture modeling
- expectation maximisation
- hidden variables
- likelihood maximization
- probability density function
- finite mixture model
- k means
- log likelihood function
- model based clustering
- hierarchical clustering
- hidden markov models
- finite mixture models
- image segmentation
- finite mixtures
- language model
- probabilistic principal component analysis
- latent dirichlet
- matrix factorisation