Correcting Sample Selection Bias by Unlabeled Data.
Jiayuan HuangAlexander J. SmolaArthur GrettonKarsten M. BorgwardtBernhard SchölkopfPublished in: NIPS (2006)
Keyphrases
- information retrieval
- sample selection bias
- unlabeled data
- labeled data
- semi supervised learning
- semi supervised
- active learning
- supervised learning
- text classification
- labeled and unlabeled data
- training data
- data points
- labeled examples
- co training
- text categorization
- learning algorithm
- labeled training data
- training set
- training examples
- class labels
- class distribution
- positive examples
- training and test data
- machine learning
- decision boundary
- multi view
- prior knowledge
- target domain
- decision trees