Tri-Training: Exploiting Unlabeled Data Using Three Classifiers.
Zhi-Hua ZhouMing LiPublished in: IEEE Trans. Knowl. Data Eng. (2005)
Keyphrases
- unlabeled data
- labeled training data
- training set
- labeled data
- training examples
- co training
- number of labeled examples
- semi supervised learning
- supervised learning
- training data
- semi supervised
- labeled and unlabeled data
- classifier training
- active learning
- text classification
- unlabeled examples
- labeled examples
- unlabeled training data
- labeled data for training
- class labels
- test set
- training samples
- semi supervised classification
- data points
- text categorization
- partially labeled data
- supervised learning algorithms
- unlabeled instances
- training and test sets
- training and test data
- supervised methods
- decision boundary
- classification systems
- training process
- labeled instances
- class distribution
- positive examples
- data sets
- semi supervised learning methods
- prior knowledge
- learning algorithm
- learning tasks
- labeled and unlabeled examples
- single view
- training instances
- transfer learning
- naive bayes
- unsupervised learning
- multi view
- decision trees
- feature selection
- machine learning
- text classifiers
- unlabeled samples
- domain adaptation
- target domain
- test data
- multi label
- text mining
- classification accuracy