GAR: An efficient and scalable Graph-based Activity Regularization for semi-supervised learning.
Ozsel KilincIsmail UysalPublished in: CoRR (2017)
Keyphrases
- semi supervised learning
- semi supervised
- regularization framework
- manifold regularization
- label propagation
- semi supervised learning methods
- graph based semi supervised learning
- labeled data
- unlabeled data
- multi view learning
- graph construction
- semi supervised classification
- supervised learning
- unsupervised learning
- training data
- learning problems
- multi view
- active learning
- co training
- labeled and unlabeled data
- domain adaptation
- graph laplacian
- semi supervised learning algorithms
- machine learning
- metric learning
- transfer learning
- learning models
- feature space
- opinion detection
- pairwise constraints
- reinforcement learning
- e learning