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Can I read Integrating ILP and EBL on EtoBox?
Integrating ILP and EBL by Mooney, Raymond J.; Zelle, John M. is a Computer Science article available to read on EtoBox.
What is Integrating ILP and EBL about?
This paper presents a review of recent work that integrates methods from Inductive Logic Programming (ILP) and Explanation-Based Learning (EBL). ILP and EBL methods have complementary strengths and weaknesses and a number of recent projects have effectively combined them into systems with better performance than either of the individual approaches. In particular, integrated systems have been developed for guiding induction with prior knowledge (ML-Smart, FOCL, GRENDEL) refining imperfect domain theories (FORTE, AUDREY, Rx), and learning effective search-control knowledge (AxA-EBL, DOLPHIN).
Who reads Integrating ILP and EBL?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Mooney, Raymond J.; Zelle, John M.
- Publisher
- Association for Computing Machinery; Association for Computing Machinery (ACM) (ISSN 0163-5719)
- Published
- 1994
- Language
- EN
- Field
- Computer Science (Physical Sciences)