A framework for set-oriented computation in inductive logic programming and its application in generalizing inverse entailment

• Type: Article in International Conference Proceedings Book
• Date: 2005

Authors

Bravo, HC (Author) Other; Page, D (Author) Other; Ramakrishnan, R (Author) Other; Shavlik, J (Author) Other; Costa, VS (Author) FCUP

Conference proceedings International

Title: Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Pages: 69-86

15th International Conference on Inductive Logic Programming, ILP 2005

Bonn, 10 August 2005 through 13 August 2005

Indexing

Scopus - 1 Citation

Other information

Authenticus ID: P-007-E90

DOI: 10.1007/11536314_5

Abstract (EN): We propose a new approach to Inductive Logic Programming i that systematically exploits caching and offers a number of advantages over current systems. It avoids redundant computation, is more amenable to the use of set-oriented generation and evaluation of hypotheses, and allows relational DBMS technology to be more easily applied to ILP systems. Further, our approach opens up new avenues such as probabilistically scoring rules during search and the generation of probabilistic rules. As a first example of the benefits of our ILP framework, we propose a scheme for denning the hypothesis search space through Inverse Entailment using multiple example seeds. © Springer-Verlag Berlin Heidelberg 2005.

Language: English

Type (Professor's evaluation): Scientific