Learning to detect incidents from noisily labeled data.
Tomás SingliarMilos HauskrechtPublished in: Mach. Learn. (2010)
Keyphrases
- labeled data
- supervised learning
- learning algorithm
- active learning
- semi supervised learning
- semi supervised
- training data
- labeled and unlabeled data
- unlabeled data
- domain adaptation
- learning process
- prior knowledge
- co training
- text classification
- learning problems
- transfer learning
- training examples
- data points
- labeled instances
- partially labeled data
- data mining
- background knowledge
- support vector machine
- supervised learning algorithms
- sample selection bias
- class labels
- learning tasks
- unsupervised learning
- incremental learning
- inductive inference
- reinforcement learning
- decision trees
- feature engineering
- data sets