Learning Hypotheses from Triadic Labeled Data.
Dmitry I. IgnatovRoman ZhukNatalia KonstantinovaPublished in: WI-IAT (1) (2014)
Keyphrases
- labeled data
- supervised learning
- semi supervised learning
- active learning
- semi supervised
- learning algorithm
- unlabeled data
- labeled and unlabeled data
- learning process
- prior knowledge
- domain adaptation
- training data
- co training
- reinforcement learning
- supervised learning algorithms
- learning tasks
- text classification
- transfer learning
- machine learning
- sample selection bias
- positive examples
- negative examples
- semi supervised classification
- hypothesis space
- labeled instances
- learning models
- learning problems
- data points
- pairwise
- neural network
- feature engineering
- labeling effort
- partially labeled data
- weakly supervised
- inductive inference
- background knowledge
- data mining