GAR: An efficient and scalable graph-based activity regularization for semi-supervised learning.
Ozsel KilincIsmail UysalPublished in: Neurocomputing (2018)
Keyphrases
- semi supervised learning
- semi supervised
- regularization framework
- semi supervised learning methods
- manifold regularization
- label propagation
- graph based semi supervised learning
- unlabeled data
- labeled data
- graph construction
- multi view learning
- machine learning
- semi supervised classification
- learning problems
- supervised learning
- active learning
- unsupervised learning
- co training
- training data
- labeled and unlabeled data
- semi supervised learning algorithms
- pairwise
- domain adaptation
- data sets
- multi view
- transfer learning
- information retrieval
- community detection
- learning process
- graph laplacian
- high dimensional
- learning models
- training examples