Maximum a posteriori decision and evaluation of class probabilities by Boltzmann perceptron classifiers.
Eyal YairAllen GershoPublished in: Proc. IEEE (1990)
Keyphrases
- maximum a posteriori
- class probabilities
- markov random field
- multi class
- hyperparameters
- bayesian methods
- maximum likelihood
- naive bayes
- decision boundary
- image reconstruction
- bayesian framework
- probability estimates
- em algorithm
- support vector
- class distribution
- cost sensitive
- class labels
- energy function
- binary classifiers
- training data
- density function
- expectation maximization
- probability estimation
- classification algorithm
- linear classifiers
- random forests
- learning algorithm
- machine learning
- svm classifier
- support vector machine
- classification trees
- image segmentation
- decision trees