Learning in Unlabeled Networks - An Active Learning and Inference Approach.
Tomasz KajdanowiczRadoslaw MichalskiKatarzyna MusialPrzemyslaw KazienkoPublished in: CoRR (2015)
Keyphrases
- active learning
- learning algorithm
- supervised learning
- learning process
- online learning
- unsupervised learning
- training data
- semi supervised learning
- fully connected
- semi supervised
- selective sampling
- labeled data
- learning systems
- learning strategies
- decision theoretic
- labeling effort
- recurrent networks
- neural network
- active learner
- labeled and unlabeled data
- dynamic bayesian networks
- random sampling
- cost sensitive
- incremental learning
- learning tasks
- transfer learning
- training examples
- text classification
- data points
- reinforcement learning
- bayesian networks