Extreme entropy machines: robust information theoretic classification.
Wojciech Marian CzarneckiJacek TaborPublished in: Pattern Anal. Appl. (2017)
Keyphrases
- information theoretic
- information theory
- mutual information
- theoretic framework
- entropy measure
- information bottleneck
- jensen shannon divergence
- support vector
- multi modality
- feature selection
- decision trees
- information theoretic measures
- relative entropy
- machine learning
- kullback leibler divergence
- log likelihood
- image classification
- text classification
- classification accuracy
- computational learning theory
- minimum description length
- model selection
- cost sensitive
- feature extraction
- computer vision
- data mining
- distributional clustering
- maximum likelihood
- supervised learning
- support vector machine
- feature space
- pattern recognition
- bayesian networks