Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning.
Mark EdmondsXiaojian MaSiyuan QiYixin ZhuHongjing LuSong-Chun ZhuPublished in: CoRR (2019)
Keyphrases
- instance level
- structure learning
- bayesian networks
- transfer learning
- multiple instance
- graphical models
- parameter learning
- conditional independence
- semi supervised clustering
- semi supervised
- multiple instance learning
- parameter estimation
- data sets
- learning problems
- learning tasks
- concept learning
- probability distribution
- markov networks
- labeled data
- graph cuts
- reinforcement learning
- machine learning