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01956nam a22003495i 4500 |
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978-3-540-78979-6 |
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20191026071948.0 |
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cr nn 008mamaa |
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100301s2008 gw | s |||| 0|eng d |
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|a 9783540789796
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024 |
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|a 10.1007/978-3-540-78979-6
|2 doi
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|a Sistema de Bibliotecas del Tecnológico de Costa Rica
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|a Learning Classifier Systems in Data Mining
|c edited by Larry Bull, Ester Bernadó-Mansilla, John Holmes.
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|a 1st ed. 2008.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2008.
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|a IX, 230 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Studies in Computational Intelligence,
|v 125
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|a Learning Classifier Systems in Data Mining: An Introduction -- Data Mining in Proteomics with Learning Classifier Systems -- Improving Evolutionary Computation Based Data-Mining for the Process Industry: The Importance of Abstraction -- Distributed Learning Classifier Systems -- Knowledge Discovery from Medical Data: An Empirical Study with XCS -- Mining Imbalanced Data with Learning Classifier Systems -- XCS for Fusing Multi-Spectral Data in Automatic Target Recognition -- Foreign Exchange Trading Using a Learning Classifier System -- Towards Clustering with Learning Classifier Systems -- A Comparative Study of Several Genetic-Based Supervised Learning Systems.
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650 |
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|a Applied mathematics.
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|a Engineering mathematics.
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650 |
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|a Artificial intelligence.
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4 |
|a Mathematical and Computational Engineering.
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2 |
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|a Artificial Intelligence.
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700 |
1 |
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|a Bull, Larry.
|e editor.
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700 |
1 |
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|a Bernadó-Mansilla, Ester.
|e editor.
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700 |
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|a Holmes, John.
|e editor.
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710 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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856 |
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|u https://doi.org/10.1007/978-3-540-78979-6
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