A Greedy EM Algorithm for Gaussian Mixture Learning.
Nikos A. VlassisAristidis LikasPublished in: Neural Process. Lett. (2002)
Keyphrases
- em algorithm
- gaussian mixture
- expectation maximization
- mixture model
- gaussian mixture model
- hidden variables
- parameter estimation
- probability density function
- maximum likelihood estimation
- maximum likelihood
- closed form
- generative model
- covariance matrix
- unsupervised learning
- log likelihood
- learning algorithm
- probability density
- mixture of gaussians
- density estimation
- semi supervised
- probabilistic model
- active learning
- reinforcement learning
- machine learning
- expectation maximisation