Two information-theoretic tools to assess the performance of multi-class classifiers.
Francisco J. Valverde-AlbaceteCarmen Peláez-MorenoPublished in: Pattern Recognit. Lett. (2010)
Keyphrases
- information theoretic
- multi class classifiers
- information theory
- mutual information
- theoretic framework
- information theoretic measures
- information bottleneck
- multi class
- jensen shannon divergence
- multi class svm
- relative entropy
- entropy measure
- machine learning
- kullback leibler divergence
- distributional clustering
- feature selection
- confusion matrix
- computer vision
- data mining