Learning SVMs from Sloppily Labeled Data.
Guillaume StempfelLiva RalaivolaPublished in: ICANN (1) (2009)
Keyphrases
- labeled data
- active learning
- supervised learning
- learning algorithm
- semi supervised learning
- labeled and unlabeled data
- training data
- domain adaptation
- semi supervised
- unlabeled data
- learning tasks
- prior knowledge
- learning problems
- sample selection bias
- learning process
- multitask learning
- supervised learning algorithms
- unsupervised learning
- text classification
- co training
- labeled training data
- class labels
- transfer learning
- training set
- labeling effort
- inductive inference
- positive examples
- reinforcement learning
- labeled instances
- partially labeled data
- feature engineering
- labeled training set
- labeled examples
- text categorization
- high dimensional
- feature extraction
- feature selection