Regularizing Structured Classifier with Conditional Probabilistic Constraints for Semi-supervised Learning.
Vincent Wenchen ZhengKevin Chen-Chuan ChangPublished in: CIKM (2016)
Keyphrases
- semi supervised learning
- semi supervised
- training data
- co training
- unlabeled data
- labeled data
- multi label classification
- labeled training data
- labeled and unlabeled data
- supervised classifiers
- semi supervised clustering
- semi supervised learning methods
- semi supervised classification
- unlabeled samples
- active learning
- supervised learning
- labeled samples
- pairwise constraints
- class labels
- learning problems
- conditional probabilities
- instance selection
- unsupervised learning
- multiple kernel learning
- machine learning
- multiple instance learning
- graph based semi supervised learning
- text categorization
- feature space
- label propagation
- feature set
- manifold regularization
- labeled examples
- semi supervised learning algorithms
- bayesian networks
- generative model
- text classification
- learning algorithm
- training set
- transfer learning
- decision boundary
- support vector machine
- probabilistic model
- labeled instances
- training samples
- similarity measure
- discriminative models
- decision trees
- feature selection
- data sets
- prior knowledge
- classification accuracy
- domain adaptation
- metric learning