Landscape of a Likelihood Surface for a Gaussian Mixture and its use for the EM Algorithm.
Yuta IshikawaRyohei NakanoPublished in: IJCNN (2006)
Keyphrases
- gaussian mixture
- em algorithm
- maximum likelihood
- likelihood function
- expectation maximization
- mixture of gaussians
- log likelihood
- mixture model
- gaussian mixture model
- log likelihood function
- parameter estimation
- probability density
- maximum a posteriori
- expectation maximisation
- generative model
- maximum likelihood estimates
- probability density function
- maximum likelihood estimation
- density estimation
- probabilistic model
- bayesian framework
- closed form
- unsupervised learning
- gaussian distribution
- posterior probability
- hidden markov models