Comparing Information-Theoretic Attribute Selection Measures: A Statistical Approach.
Ramón López de MántarasJesús CerquidesPere GarciaPublished in: AI Commun. (1998)
Keyphrases
- information theoretic
- attribute selection
- information theoretic measures
- information theory
- mutual information
- entropy measure
- decision tree induction
- decision trees
- theoretic framework
- classification models
- information gain
- shannon entropy
- information bottleneck
- relative entropy
- feature selection
- kl divergence
- software quality
- jensen shannon divergence
- kullback leibler divergence
- probability estimation
- software engineering
- image registration
- model selection
- multi class
- data sets