Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning.
Lidong BingWilliam W. CohenBhuwan DhingraPublished in: CoRR (2017)
Keyphrases
- semi supervised learning
- co training
- training data
- graph construction
- semi supervised
- unlabeled data
- labeled data
- labeled and unlabeled data
- semi supervised clustering
- weakly labeled data
- labeled training data
- semi supervised support vector machines
- supervised learning
- machine learning
- semi supervised classification
- boosting framework
- semi supervised learning methods
- active learning
- label propagation
- manifold regularization
- unlabeled samples
- labeled examples
- training examples
- class labels
- supervised learning algorithms
- text categorization
- unsupervised learning
- naive bayes
- supervised classification
- decision trees
- graph based semi supervised learning
- domain adaptation
- support vector
- learning models
- learning problems
- pairwise constraints
- semi supervised learning algorithms
- supervised methods
- data sets
- pairwise
- transfer learning
- training samples
- clustering algorithm
- training set
- decision boundary
- weighted graph
- feature selection
- knn