dc.contributor.author | Kakas, Antonis C. | en |
dc.contributor.author | Lamma, E. | en |
dc.contributor.author | Riguzzi, F. | en |
dc.creator | Kakas, Antonis C. | en |
dc.creator | Lamma, E. | en |
dc.creator | Riguzzi, F. | en |
dc.date.accessioned | 2019-11-13T10:40:27Z | |
dc.date.available | 2019-11-13T10:40:27Z | |
dc.date.issued | 1998 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/54126 | |
dc.description.abstract | We present an approach for solving some of the problems of top-down Inductive Logic Programming systems when learning multiple predicates. The approach is based on an algorithm for learning abductive logic programs. Abduction is used to generate additional information that is useful for solving the problem of global inconsistency when learning multiple predicates. | en |
dc.source | 8th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 1998 | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867758281&partnerID=40&md5=a65a25cdffa5f254ad55af065b83ed18 | |
dc.subject | Artificial intelligence | en |
dc.subject | Topdown | en |
dc.subject | Abductive logic programs | en |
dc.subject | Inductive logic | en |
dc.subject | Multiple predicates | en |
dc.title | Learning multiple predicates | en |
dc.type | info:eu-repo/semantics/article | |
dc.description.volume | 1480 LNAI | en |
dc.description.startingpage | 303 | |
dc.description.endingpage | 316 | |
dc.author.faculty | 002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Πληροφορικής / Department of Computer Science | |
dc.type.uhtype | Article | en |
dc.description.notes | <p>Sponsors: Eur. Coord. Comm. Artif. Intell. (ECCAI) | en |
dc.description.notes | Conference code: 93537 | en |
dc.description.notes | Cited By :1</p> | en |
dc.source.abbreviation | Lect. Notes Comput. Sci. | en |
dc.contributor.orcid | Kakas, Antonis C. [0000-0001-6773-3944] | |
dc.gnosis.orcid | 0000-0001-6773-3944 | |