Formulation of the Tree Approximation Problem as a Detection Problem and Relation between the AUC and Information Theory Divergences.
Navid Tafaghodi KhajaviAnthony KuhPublished in: INNS Conference on Big Data (2015)
Keyphrases
- information theory
- information theoretic
- bregman divergences
- information geometry
- rate distortion theory
- statistical learning
- statistical mechanics
- jensen shannon divergence
- relative entropy
- statistical physics
- feature selection
- mutual information
- shannon entropy
- learning algorithm
- conditional entropy
- kullback leibler divergence
- mdl principle
- maximum entropy
- model selection
- decision trees
- computer vision