GD: A Measure Based on Information Theory for Attribute Selection.
Javier LorenzoMario HernándezJuan MéndezPublished in: IBERAMIA (1998)
Keyphrases
- information theory
- attribute selection
- information theoretic
- jensen shannon divergence
- decision trees
- decision tree induction
- shannon entropy
- statistical mechanics
- conditional entropy
- relative entropy
- information gain
- kullback leibler divergence
- information geometry
- case study
- feature selection
- learning algorithm
- text categorization
- image quality
- distance measure
- computer vision