Information Theoretic Combination of Classifiers with Application to AdaBoost.
Julien MeynetJean-Philippe ThiranPublished in: MCS (2007)
Keyphrases
- information theoretic
- mutual information
- information theory
- theoretic framework
- feature selection
- decision trees
- training data
- support vector
- entropy measure
- multi class
- face detection
- kullback leibler divergence
- adaboost algorithm
- feature set
- bayesian networks
- jensen shannon divergence
- ensemble learning
- jensen shannon
- information theoretic measures
- learning algorithm
- multi modality
- kl divergence
- classifier ensemble
- machine learning methods
- kernel function
- text categorization
- image analysis