Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning.
Gang NiuWittawat JitkrittumBo DaiHirotaka HachiyaMasashi SugiyamaPublished in: ICML (3) (2013)
Keyphrases
- probabilistic model
- semi supervised learning
- mutual information
- squared loss
- regularization framework
- manifold regularization
- semi supervised
- unlabeled data
- multi view learning
- labeled data
- unsupervised learning
- image registration
- feature selection
- machine learning
- supervised learning
- co training
- text categorization
- semi supervised classification
- learning problems
- training data
- learning models
- similarity measure
- label propagation
- active learning
- data sets
- labeled and unlabeled data
- metric learning
- graph laplacian
- reproducing kernel hilbert space
- reinforcement learning
- domain adaptation
- transfer learning