Support Vector Machines: Theory and Applications

The support vector machine (SVM) has become one of the standard tools for machine learning and data mining. This carefully edited volume presents the state of the art of the mathematical foundation of SVM in statistical learning theory, as well as novel algorithms and applications. Support Vector Ma...

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Bibliografske podrobnosti
Korporativna značnica: SpringerLink (Online service)
Drugi avtorji: Wang, Lipo. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Format: Elektronski eKnjiga
Jezik:English
Izdano: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.
Izdaja:1st ed. 2005.
Serija:Studies in Fuzziness and Soft Computing, 177
Teme:
Online dostop:https://doi.org/10.1007/b95439
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