Extreme Entropy Machines: Robust information theoretic classification.
Wojciech Marian CzarneckiJacek TaborPublished in: CoRR (2015)
Keyphrases
- information theoretic
- information theory
- mutual information
- theoretic framework
- information bottleneck
- relative entropy
- entropy measure
- pattern recognition
- feature selection
- kullback leibler divergence
- jensen shannon divergence
- minimum description length
- classification accuracy
- multi modality
- image classification
- information theoretic measures
- supervised learning
- feature space
- model selection
- feature extraction
- decision trees
- text classification
- support vector machine
- probability distribution
- feature vectors
- machine learning
- log likelihood
- bayesian networks
- image segmentation
- image processing
- distributional clustering