When classifier selection meets information theory: A unifying view.
Mohamed Farouk Abdel HadyFriedhelm SchwenkerGünther PalmPublished in: SoCPaR (2010)
Keyphrases
- information theory
- information theoretic
- selection criterion
- statistical learning
- jensen shannon divergence
- conditional entropy
- statistical mechanics
- kullback leibler divergence
- mutual information
- training data
- training set
- statistical physics
- relative entropy
- feature set
- rate distortion theory
- learning algorithm
- information geometry
- computer vision
- feature selection
- kl divergence
- selection algorithm
- support vector machine
- decision trees