Back to Search
Start Over
A quasi-metric for machine learning
- Source :
- Scopus-Elsevier, Advances in Artificial Intelligence — IBERAMIA 2002 ISBN: 9783540001317, IBERAMIA, idUS. Depósito de Investigación de la Universidad de Sevilla, instname
-
Abstract
- The subsumption relation is crucial in the Machine Learning systems based on a clausal representation. In this paper we present a class of operators for Machine Learning based on clauses which is a characterization of the subsumption relation in the following sense: The clause C 1 subsumes the clause C 2 iff C 1 can be reached from C 2 by applying these operators. In the second part of the paper 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. Ministerio de Ciencia y Tecnología TIC 2000-1368-C03-0 Junta de Andalucía TIC-137
- Subjects :
- Class (set theory)
Inductive logic
Relation (database)
Computer science
business.industry
Closeness
Characterization (mathematics)
Machine learning
computer.software_genre
TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES
Inductive logic programming
TheoryofComputation_LOGICSANDMEANINGSOFPROGRAMS
Metric (mathematics)
Artificial intelligence
business
Representation (mathematics)
computer
Subjects
Details
- ISBN :
- 978-3-540-00131-7
- ISBNs :
- 9783540001317
- Database :
- OpenAIRE
- Journal :
- Scopus-Elsevier, Advances in Artificial Intelligence — IBERAMIA 2002 ISBN: 9783540001317, IBERAMIA, idUS. Depósito de Investigación de la Universidad de Sevilla, instname
- Accession number :
- edsair.doi.dedup.....2eedf20b55a1e1380b4f795d3216c808