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