Discovering outlier filtering rules from unlabeled data: combining a supervised learner with an unsupervised learner.
Kenji YamanishiJun'ichi TakeuchiPublished in: KDD (2001)
Keyphrases
- semi supervised
- unlabeled data
- supervised learning
- semi supervised learning
- labeled data
- unsupervised learning
- supervised and semi supervised
- semi supervised classification
- active learning
- learning process
- labeled and unlabeled data
- learning algorithm
- learning environment
- supervised methods
- training data
- supervised classification
- domain adaptation
- co training
- labeled training data
- labeled examples
- e learning
- multi view
- label information
- learning tasks
- training examples
- semi supervised learning algorithms
- semisupervised learning
- unlabeled training data
- class labels
- text classification
- pairwise
- text categorization
- unlabeled examples
- supervised learning algorithms
- supervised and unsupervised learning
- training set
- reinforcement learning
- machine learning
- positive examples
- single view
- data sets
- fully supervised
- association rules