Neural networks to estimate ML multi-class constrained conditional probability density functions.
Juan Ignacio ArribasJesús Cid-SueiroTülay AdaliAníbal R. Figueiras-VidalPublished in: IJCNN (1999)
Keyphrases
- multi class
- probability density function
- neural network
- em algorithm
- density function
- maximum likelihood
- probability distribution
- expectation maximization
- pairwise
- support vector machine
- kernel density estimation
- density estimation
- cost sensitive
- binary classification
- multi class classification
- object detection
- multi class classifier
- mixture model
- bayesian framework
- class probabilities
- pattern recognition
- gaussian mixture model
- statistical methods
- binary classifiers
- multiple classes
- class conditional
- distance function
- nearest neighbor
- feature space
- base classifiers
- higher order
- knn
- error correcting output codes
- feature selection