Statistical Physics, Mixtures of Distributions, and the EM Algorithm.
Alan L. YuillePaul E. StolorzJoachim UtansPublished in: Neural Comput. (1994)
Keyphrases
- em algorithm
- statistical physics
- mixture distribution
- expectation maximization
- deterministic annealing
- mixture model
- mixture components
- gaussian mixture
- learning curves
- information theory
- game theory
- gaussian distribution
- gaussian mixture model
- generative model
- maximum likelihood
- parameter estimation
- maximum likelihood estimation
- belief propagation
- log likelihood
- power law
- exponential family
- probability density function
- hyperparameters
- dirichlet distribution
- normal distribution
- maximum a posteriori
- maximum likelihood estimates
- density estimation
- unsupervised learning
- probabilistic model
- random variables
- partition function
- incomplete data
- least squares
- probability distribution
- machine learning
- message passing
- graphical models
- information theoretic
- markov random field
- k means