Theory and Use of the EM Algorithm.
Maya R. GuptaYihua ChenPublished in: Found. Trends Signal Process. (2010)
Keyphrases
- em algorithm
- expectation maximization
- mixture model
- maximum likelihood
- parameter estimation
- generative model
- gaussian mixture model
- maximum likelihood estimation
- incomplete data
- likelihood function
- gaussian mixture
- probabilistic model
- likelihood maximization
- log likelihood
- probability density function
- maximum a posteriori
- expectation maximisation
- penalized likelihood
- hidden variables
- sum product algorithm
- bayesian framework
- gibbs sampling
- finite mixture model
- mixture modeling
- machine learning