Laplacian Margin Distribution Boosting for Learning from Sparsely Labeled Data.
Tao WangXuming HeChunhua ShenNick BarnesPublished in: DICTA (2011)
Keyphrases
- labeled data
- learning algorithm
- supervised learning
- active learning
- semi supervised
- labeled and unlabeled data
- domain adaptation
- unlabeled data
- semi supervised learning
- prior knowledge
- learning process
- partially labeled data
- text classification
- sample selection bias
- supervised learning algorithms
- training data
- transfer learning
- co training
- learning tasks
- class labels
- labeled examples
- feature extraction
- label propagation
- reinforcement learning
- support vector
- learning models
- generalization error
- unsupervised learning
- data sets
- labeled instances