Utilizing Information Theoretic Diversity for SVM Active Learn.
Charlie K. DagliShyamsundar RajaramThomas S. HuangPublished in: ICPR (2) (2006)
Keyphrases
- information theoretic
- information theory
- mutual information
- distributional clustering
- support vector
- theoretic framework
- information bottleneck
- support vector machine svm
- information theoretic measures
- jensen shannon divergence
- feature selection
- knn
- entropy measure
- minimum description length
- relative entropy
- multi modality
- log likelihood
- kernel function
- multi class
- computational learning theory
- max margin
- machine learning
- bregman divergences
- support vectors
- kullback leibler divergence
- learning theory
- kernel methods
- image processing
- svm classifier
- training data
- support vector machine
- feature space
- pattern recognition