| Title | Generalizing Programs via Subsumption |
| Publication Type | Journal Papers |
| Year of Publication | 2003 |
| Authors | Gutiérrez-Naranjo, M. A., Alonso-Jiménez J. A., & Borrego-Díaz J. |
| Journal Title | Lecture Notes in Computer Science |
| ISBN Number | 978-3-540-20221-9 |
| Publisher | Springer |
| Place Published | Amsterdam, The Netherlands |
| Volume | 2809 |
| Pages | 115-126 |
| Abstract | In this paper we present a class of operators for Machine Learning based on Logic Programming which represents a characterization of the subsumption relation in the following sense: The clause C1 subsumes the clause C2 iff C1 can be reached from C2 by applying these operators. We give a formalization of the closeness among clauses based on these operators and an algorithm to compute it as well as a bound for a quick estimation. We extend the operator to programs and we also get a characterization of the subsumption between programs. Finally, a weak metric is presented to compute the closeness among programs based on subsumption. |
| URL | http://www.springerlink.com/index/e2n91gjuq95a5v1l.pdf |
| ISSN Number | 0302-9743 |