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Scope classification : An instance-based learning algorithm with a rule-based characterisation

Identifieur interne : 000B32 ( PascalFrancis/Checkpoint ); précédent : 000B31; suivant : 000B33

Scope classification : An instance-based learning algorithm with a rule-based characterisation

Auteurs : N. Lachichel [France] ; P. Marquis [France]

Source :

RBID : Pascal:98-0263976

Descripteurs français

English descriptors

Abstract

Scope classification is a new instance-based learning (IBL) technique with a rule-based characterisation. Within the scope approach, the classification of an object o is based on the examples that are closer to o than every example labelled with another class. In contrast to standard distance-based IBL classifiers, scope classification relies on partial pre-orderings ≤o between examples, indexed by objects. Interestingly, the notion of closeness to o that is used characterises the classes predicted by all the rules that cover o and are relevant and consistent for the training set. Accordingly, scope classification is an IBL technique with a rule-based characterisation. Since rules do not have to be explicitly generated, the scope approach applies to classification problems where the number of rules prevents them from being exhaustively computed.


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Pascal:98-0263976

Le document en format XML

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