Accurate and fast prototype selection based on the notion of relevant and border prototypes
Author:
Affiliation:
1. Facultad de Ciencias de la Computación, Autonomous University of Puebla, Puebla, Mexico
2. Coordinación de Ciencias Computacionales, National Institute of Astrophysics, Optics and Electronics, Puebla, Mexico
Publisher
IOS Press
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
Reference36 articles.
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4. Locally weighted learning;Atkeson;Artificial Intelligence Review,1997
5. Vapnik V. , The Nature of Statistical Learning Theory, Springer-Verlag New York 1995.
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