Semi-supervised Learning with Regularized Laplacian.
Konstantin AvrachenkovPavel ChebotarevAlexey MisheninPublished in: CoRR (2015)
Keyphrases
- semi supervised learning
- regularization framework
- graph laplacian
- semi supervised
- unlabeled data
- labeled data
- supervised learning
- unsupervised learning
- semi supervised classification
- active learning
- machine learning
- training data
- labeled and unlabeled data
- label propagation
- co training
- learning problems
- graph based semi supervised learning
- least squares
- improve the classification accuracy
- manifold regularization
- learning models
- transfer learning
- graph construction
- regularized least squares
- semi supervised learning algorithms
- semi supervised learning methods
- sparse coding
- learning tasks
- expectation maximization
- manifold structure
- learning process
- pattern recognition
- image segmentation