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Fast rule representation for continuous attributes in genetics-based machine learning
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Authors:
Jaume Bacardit
University of Nottingham, Nottingham, United Kngdm
Natalio Krasnogor
University of Nottingham, Nottingham, United Kngdm
Published in:
· Proceeding
GECCO '08
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Pages 1421-1422
ACM
New York, NY
, USA
©2008
table of contents
ISBN: 978-1-60558-130-9
doi>
10.1145/1389095.1389369
2008 Article
Poster
Bibliometrics
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· Downloads (cumulative): 85
· Citation Count: 1
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GECCO '13
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Tags:
algorithms
concept learning
experimentation
fast rule representation
genetics-based machine learning
induction
large datasets
performance
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