Active semi-supervised learning using sampling theory for graph signals.
Akshay GaddeAamir AnisAntonio OrtegaPublished in: KDD (2014)
Keyphrases
- semi supervised learning
- graph based semi supervised learning
- label propagation
- semi supervised classification
- graph construction
- semi supervised
- unlabeled data
- labeled data
- supervised learning
- semi supervised learning algorithms
- unsupervised learning
- graph laplacian
- machine learning
- manifold regularization
- active learning
- learning models
- co training
- graph structure
- multi view semi supervised learning
- domain adaptation
- random sampling
- labeled and unlabeled data
- spectral analysis
- semi supervised clustering
- semi supervised learning methods
- knn
- training data
- opinion detection
- community detection
- transfer learning
- regularization framework
- k nearest neighbor
- learning algorithm