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2008

Representing Case Variations for Learning General and Specific Adaptation Rules

11 years 11 months ago
Representing Case Variations for Learning General and Specific Adaptation Rules
Adaptation is a task of case-based reasoning systems that is largely domain-dependant. This motivates the study of adaptation knowledge acquisition (AKA) that can be carried out thanks to learning processes on the variations between cases of the case base. This paper studies the representation of these variations and the impact of this representation on the AKA process, through experiments in an oncology domain.
Fadi Badra, Jean Lieber
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2008
Where STAIRS
Authors Fadi Badra, Jean Lieber
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