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A Classification Module for Genetic Programming Algorithms in JCLEC

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Author
Cano, Alberto
Luna, J.M.
Zafra, Amelia
Ventura Soto, S.
Publisher
MIT Press
Date
2014
Subject
Classification
Evolutionary algorithms
Genetic programming
JCLEC
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Abstract
JCLEC-Classi cation is a usable and extensible open source library for genetic program- ming classi cation algorithms. It houses implementations of rule-based methods for clas- si cation based on genetic programming, supporting multiple model representations and providing to users the tools to implement any classi er easily. The software is written in Java and it is available from http://jclec.sourceforge.net/classification under the GPL license
URI
http://hdl.handle.net/10396/13001
Fuente
Journal of Machine Learning Research 01, 1-4 (2014)
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