Improved Convergence Guarantees for Learning Gaussian Mixture Models by EM and Gradient EM.
Nimrod SegolBoaz NadlerPublished in: CoRR (2021)
Keyphrases
- gaussian mixture model
- expectation maximization
- mixture model
- em algorithm
- learning process
- maximum likelihood
- log likelihood function
- density estimation
- unsupervised learning
- gaussian distribution
- speaker recognition
- gaussian mixture
- probability density
- probabilistic model
- pattern recognition
- variational bayes
- reinforcement learning