Efficient Distributed Semi-Supervised Learning using Stochastic Regularization over Affinity Graphs.
Sunil ThulasidasanJeffrey A. BilmesGarrett T. KenyonPublished in: CoRR (2016)
Keyphrases
- semi supervised learning
- regularization framework
- semi supervised
- labeled data
- manifold regularization
- unlabeled data
- graph construction
- supervised learning
- semi supervised classification
- unsupervised learning
- graph laplacian
- active learning
- machine learning
- multi view learning
- weighted graph
- pairwise
- label propagation
- graph based semi supervised learning
- training data
- learning models
- kernel machines
- labeled and unlabeled data
- prior knowledge
- learning algorithm
- pattern recognition
- data dependent
- opinion detection
- multi view
- data mining
- information retrieval
- semi supervised clustering
- co training
- high dimensional
- learning problems
- transfer learning
- learning process
- data points
- knn
- k nearest neighbor