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Support vector machines in high-energy physics
This lecture introduces the support vector algorithms for classi cation and regression. They are an application of the so-called kernel trick, which allows the extension of a certain class of linear algorithms to the non-linear case. The kernel trick will be introduced and in the context of structur...
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| Lenguaje: | eng |
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CERN
2008
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| Acceso en línea: | https://dx.doi.org/10.5170/CERN-2008-002.23 http://cds.cern.ch/record/1100522 |