On Ryde'n's EM algorithm for estimating MMPPs.
William J. J. RobertsYariv EphraimElvis DieguezPublished in: IEEE Signal Process. Lett. (2006)
Keyphrases
- em algorithm
- expectation maximization
- mixture model
- maximum likelihood
- maximum likelihood estimates
- parameter estimation
- generative model
- gaussian mixture model
- maximum likelihood estimation
- incomplete data
- gaussian mixture
- likelihood function
- likelihood maximization
- log likelihood
- expectation maximisation
- probability density function
- hidden variables
- gibbs sampling
- maximum a posteriori
- density estimation
- model based clustering
- unsupervised learning
- penalized likelihood
- machine learning
- latent dirichlet
- mixture distribution
- parameter learning
- dimensionality reduction
- supervised learning
- image segmentation