Identifiability of Priors from Bounded Sample Sizes with Applications to Transfer Learning.
Liu YangSteve HannekeJaime G. CarbonellPublished in: COLT (2011)
Keyphrases
- transfer learning
- sample size
- structure learning
- learning tasks
- knowledge transfer
- hierarchical bayesian model
- model selection
- random sampling
- reinforcement learning
- active learning
- labeled data
- machine learning
- small sample size
- transfer knowledge
- cross domain
- semi supervised learning
- domain adaptation
- confidence intervals
- text categorization
- target domain
- machine learning algorithms
- text mining
- collaborative filtering
- upper bound
- multi task
- worst case
- causal models
- causal discovery
- learning algorithm
- text classification
- recommender systems
- probabilistic model
- training data
- multi task learning
- decision trees
- information retrieval