TS, a test-split algorithm for inductive learning:
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Bibliographische Detailangaben
Beteilige Person: Wu, Xindong (VerfasserIn)
Format: Buch
Sprache:Englisch
Veröffentlicht: Edinburgh 1991
Schriftenreihe:University <Edinburgh> / Department of Artificial Intelligence: DAI research paper 568
Schlagwörter:
Abstract:Abstract: "This paper presents a new attribute-based learning algorithm, TS. Different from ID3, AQ11 and HCV in strategies, this algorithm operates in cycles of test and split. It uses those attribute values which occur only in positive examples but not in negative examples to discriminate positive examples against negative examples in a straight- forward manner and chooses the attributes with the least number of different values to split example sets. TS is natural, easy to implement, and polynomial in time complexity."
Umfang:13 S.
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Teilbibliothek Mathematik & Informatik, Berichte

Bestandsangaben von Teilbibliothek Mathematik &amp; Informatik, Berichte
Signatur: 0111 2001 B 6034-568
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