- Statistical predicate invention
- Generalizing across domains
- Learning many levels of structure
- Deep combination of learning and inference
- Learning to map between representations
- Learning in the large
- Structured prediction with intractable inference
- Reinforcement learning with structured time
- Expanding SRL (Statistical Relational Learning) to statistical relational AI
- Learning to debug programs
다행히 section 5의 저자분이 자신의 부분을 공개하고 있으니 관심 있으신 분들은 한번 쯤 읽어 봐도 좋을듯 합니다.
Posted by hongiiv