Large Margin Distribution Learning with Cost Interval and Unlabeled Data.
Yu-Hang ZhouZhi-Hua ZhouPublished in: IEEE Trans. Knowl. Data Eng. (2016)
Keyphrases
- unlabeled data
- learning algorithm
- labeled data
- supervised learning
- active learning
- semi supervised
- semi supervised learning
- labeled and unlabeled data
- co training
- supervised learning algorithms
- prior knowledge
- positive examples
- learning problems
- sample selection bias
- training data
- domain adaptation
- unsupervised learning
- multi view learning
- semi supervised classification
- multi view
- labeled examples
- text classification
- cost sensitive
- data points
- learning process
- dimensionality reduction
- background knowledge
- weakly supervised
- training examples
- training samples
- labeled training data
- decision trees
- transductive learning
- labeled instances
- data mining