Information theoretic regularization for semi-supervised boosting.
Lei ZhengShaojun WangYan LiuChi-Hoon LeePublished in: KDD (2009)
Keyphrases
- information theoretic
- semi supervised
- kernel machines
- information theory
- mutual information
- semi supervised learning
- bregman divergences
- labeled data
- theoretic framework
- information bottleneck
- unlabeled data
- jensen shannon divergence
- pairwise
- information theoretic measures
- supervised learning
- active learning
- multi view
- feature selection
- information geometry
- boosting algorithms
- computational learning theory
- pairwise constraints
- relative entropy
- entropy measure
- distributional clustering
- kullback leibler divergence
- learning algorithm
- log likelihood
- pattern recognition
- machine learning
- labeled and unlabeled data
- image registration