HCV, a heuristic covering algorithm for extension matrix approach:

Abstract: "HCV is a heuristic attribute-based induction algorithm based on the extension matrix approach. By dividing the positive examples (PE) in a given example set into intersecting groups and adopting a set of strategies to find a heuristic conjunctive formula in each group which covers al...

Ausführliche Beschreibung

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Bibliographische Detailangaben
1. Verfasser: Wu, Xingdong (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Edinburgh 1992
Schriftenreihe:University <Edinburgh> / Department of Artificial Intelligence: DAI research paper 578
Schlagworte:
Zusammenfassung:Abstract: "HCV is a heuristic attribute-based induction algorithm based on the extension matrix approach. By dividing the positive examples (PE) in a given example set into intersecting groups and adopting a set of strategies to find a heuristic conjunctive formula in each group which covers all the positive examples in the group and none of the negative examples (NE), it can find a covering formula in form [sic] of variable- value logic for PE against NE in low-order polynomial time. This paper presents the algorithm in detail and provides a comparison of it with ID3, a representative of the decision tree method based family of inductive algorithms."
Beschreibung:28 S.

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