Relevant Data Expansion for Learning Concept Drift from Sparsely Labeled Data.
Dwi H. WidyantoroJohn YenPublished in: IEEE Trans. Knowl. Data Eng. (2005)
Keyphrases
- labeled data
- labeled and unlabeled data
- unlabeled data
- training data
- semi supervised learning
- semi supervised
- prior knowledge
- concept drift
- active learning
- supervised learning
- data sets
- background knowledge
- learning algorithm
- drifting concepts
- data distribution
- learning process
- domain adaptation
- knowledge discovery
- training examples
- class labels
- labeled training data
- data points
- co training
- data streams
- similarity measure
- data structure
- transfer learning
- small number
- high dimensional data
- text classification
- labeling effort
- information extraction
- labeled instances
- learning problems
- unsupervised learning