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01902nam a22003135i 4500 |
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20220829154323.0 |
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cr nn 008mamaa |
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100301s2008 gw | s |||| 0|eng d |
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|a 9783540753902
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| 024 |
7 |
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|a 10.1007/978-3-540-75390-2
|2 doi
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| 040 |
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|a Sistema de Bibliotecas del Tecnológico de Costa Rica
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| 245 |
1 |
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|a Rule Extraction from Support Vector Machines /
|c edited by Joachim Diederich.
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| 250 |
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|a 1st ed. 2008.
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| 260 |
# |
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2008.
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| 300 |
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|a XII, 262 p. 55 illus. :
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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|a Studies in Computational Intelligence,
|v 80
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|a Rule Extraction from Support Vector Machines: An Introduction -- Rule Extraction from Support Vector Machines: An Overview of Issues and Application in Credit Scoring -- Algorithms and Techniques -- Rule Extraction for Transfer Learning -- Rule Extraction from Linear Support Vector Machines via Mathematical Programming -- Rule Extraction Based on Support and Prototype Vectors -- SVMT-Rule: Association Rule Mining Over SVM Classification Trees -- Prototype Rules from SVM -- Applications -- Prediction of First-Day Returns of Initial Public Offering in the US Stock Market Using Rule Extraction from Support Vector Machines -- Accent in Speech Samples: Support Vector Machines for Classification and Rule Extraction -- Rule Extraction from SVM for Protein Structure Prediction.
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| 650 |
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|a Applied mathematics.
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| 650 |
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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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| 650 |
2 |
4 |
|a Artificial Intelligence.
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| 700 |
1 |
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|a Diederich, Joachim.
|e editor.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
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|t Springer eBooks
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