Understanding and Accelerating EM Algorithm's Convergence by Fair Competition Principle and Rate-Verisimilitude Function.
Chenguang LuPublished in: CoRR (2021)
Keyphrases
- em algorithm
- expectation maximization
- maximum likelihood
- mixture model
- parameter estimation
- maximum likelihood estimation
- generative model
- gaussian mixture model
- log likelihood
- likelihood function
- expectation maximisation
- penalized likelihood
- maximum a posteriori
- gaussian mixture
- likelihood maximization
- probability density function
- mixture modeling
- hyperparameters
- maximum likelihood estimates
- hidden variables
- probabilistic model
- parameter learning
- model based clustering
- incomplete data
- unsupervised learning
- probabilistic principal component analysis