Editing and Training for ALVOT, an Evolutionary Approach-Reference-Cited by-同舟云学术

Editing and Training for ALVOT, an Evolutionary Approach

Published:2003 Issue: Volume: Page:452-456
ISSN:0302-9743
Container-title:Intelligent Data Engineering and Automated Learning
language:
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Author:

Carrasco-Ochoa Jesús A.,Martínez-Trinidad José Fco.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-45080-1_61

Reference8 articles.

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2. Ruiz-Shulcloper, J., Lazo-Cortés, M.: Mathematical Algorithms for the Supervised Classification Based on Fuzzy Partial Precedence. Mathematical and Computer Modelling 29(4), 111–119 (1999)

3. Lazo-Cortes, M., Ruiz-Shulcloper, J., Alba-Cabrera, E.: An overview of the evolution of the concept of testor. Pattern Recognition 34(4), 753–762 (2001)

4. Dmitriev, A.N., Zhuravlev, Y.I., Krendeliev, F.P.: About mathematical principles of objects and phenomena classification. Diskretni Analiz 7, 3–15 (1966) (Russian)

5. Mitchel, M.: An introduction to genetic algorithms. MIT Press, Cambridge (1996)

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1. Improving the Performance of an Associative Classifier by Gamma Rough Sets Based Instance Selection;International Journal of Pattern Recognition and Artificial Intelligence;2017-10-09

2. Algoritmo de votación incremental INC-ALVOT para clasificación supervisada;Revista Facultad de Ingeniería Universidad de Antioquia;2013-03-20

3. Selecting Objects for ALVOT;Lecture Notes in Computer Science;2006

4. Object Selection Based on Subclass Error Correcting for ALVOT;Lecture Notes in Computer Science