MLPs and Mixture Models for the Estimation of the Posterior Probabilities of Class Membership.
Alexei V. IvanovAlexander A. PetrovskyPublished in: TSD (1999)
Keyphrases
- posterior probability
- class membership
- mixture model
- generative model
- probabilistic model
- probability density function
- density estimation
- em algorithm
- gaussian mixture model
- bayesian framework
- expectation maximization
- bayesian networks
- probability estimates
- prior knowledge
- probability distribution
- model selection
- parameter estimation
- language model
- conditional probabilities
- image segmentation
- probability estimation
- density function
- unsupervised learning
- maximum likelihood
- semi supervised
- cross validation
- class labels
- artificial neural networks
- pattern recognition
- bayesian inference
- variable selection
- graphical models
- graph cuts