Peptide classification using optimal and information theoretic syntactic modeling.
Eser AygünB. John OommenZehra CataltepePublished in: Pattern Recognit. (2010)
Keyphrases
- information theoretic
- information theory
- mutual information
- theoretic framework
- information bottleneck
- log likelihood
- feature extraction
- support vector
- image classification
- jensen shannon divergence
- feature selection
- relative entropy
- kullback leibler divergence
- classification accuracy
- decision trees
- text classification
- pattern recognition
- entropy measure
- minimum description length
- feature set
- supervised learning
- closed form
- feature vectors
- information theoretic measures
- text categorization
- bregman divergences
- multi modality
- model selection
- support vector machine
- image processing