On Utilizing Optimal and Information Theoretic Syntactic Modeling for Peptide Classification.
Eser AygünB. John OommenZehra CataltepePublished in: PRIB (2009)
Keyphrases
- information theoretic
- mutual information
- information theory
- theoretic framework
- image classification
- jensen shannon divergence
- relative entropy
- classification accuracy
- information theoretic measures
- information bottleneck
- pattern recognition
- entropy measure
- support vector
- decision trees
- minimum description length
- log likelihood
- multi modality
- feature vectors
- feature space
- machine learning
- feature extraction
- density estimation
- loss function
- kl divergence
- feature subset
- em algorithm
- text classification
- multi class
- support vector machine
- feature selection