Belief Merging-Based Case Combination
Identifieur interne : 003A70 ( Main/Merge ); précédent : 003A69; suivant : 003A71Belief Merging-Based Case Combination
Auteurs : Julien Cojan [France] ; Jean Lieber [France]Source :
- Lecture Notes in Computer Science [ 0302-9743 ]
English descriptors
Abstract
Abstract: Integrity constraint belief merging aims at producing from several knowledge bases, that may be mutually inconsistent, a synthetic knowledge base satisfying a given integrity constraint. It is applied here to case combination for case-based reasoning. This approach is shown to extend Eyke Hüllermeier’s credible case-based inference and to be reducible under some assumptions to linear programming.
Url:
DOI: 10.1007/978-3-642-02998-1_9
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<front><div type="abstract" xml:lang="en">Integrity constraint belief merging aims at producing from several knowledge bases, that may be mutually inconsistent, a synthetic knowledge base satisfying a given integrity constraint. It is applied here to case combination for case-based reasoning. This approach is shown to extend Eyke Hüllermeier's credible case-based inference and to be reducible under some assumptions to linear programming.</div>
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