Learning in unlabeled networks - An active learning and inference approach.
Tomasz KajdanowiczRadoslaw MichalskiKatarzyna MusialPrzemyslaw KazienkoPublished in: AI Commun. (2016)
Keyphrases
- active learning
- supervised learning
- learning algorithm
- learning process
- selective sampling
- prior knowledge
- labeled data
- connectionist networks
- learning strategies
- online learning
- learning systems
- transfer learning
- random sampling
- markov random field
- unsupervised learning
- data sets
- training examples
- semi supervised
- background knowledge
- mobile learning
- labeled and unlabeled data
- version space
- bayesian networks
- social networks
- learning frameworks