Analogical Classification: Handling Numerical Data-Reference-Cited by-同舟云学术

Analogical Classification: Handling Numerical Data

Published:2014 Issue: Volume: Page:66-79
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Bounhas Myriam,Prade Henri,Richard Gilles

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-11508-5_6

Reference23 articles.

1. Bayoudh, S., Miclet, L., Delhay, A.: Learning by analogy: A classification rule for binary and nominal data. In: Proc. Inter. Join. Conf. on Artificial Intelligence, IJCAI 2007, pp. 678–683 (2007)

2. Boughanem, M., Loiseau, Y., Prade, H.: Refining aggregation functions for improving document ranking in information retrieval. In: Prade, H., Subrahmanian, V.S. (eds.) SUM 2007. LNCS (LNAI), vol. 4772, pp. 255–267. Springer, Heidelberg (2007)

3. Bounhas, M., Prade, H., Richard, G.: Analogical classification: A new way to deal with examples. Tech. Rep. RR–2014-03–FR, Institut de Recherche en Informatique de Toulouse (IRIT), March, to appear in Proc. 21st Europ. Conf. on Artificial Intelligence, Prague, August 18-22 (2014)

4. CCIS;M. Bounhas,2014

5. Demsar, J.: Statistical comparisons of classifiers over multiple data sets. Journal of Machine Learning Research 7, 1–30 (2006)

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