An outlier map for Support Vector Machine classification

Support Vector Machines are a widely used classification technique. They are computationally efficient and provide excellent predictions even for high-dimensional data. Moreover, Support Vector Machines are very flexible due to the incorporation of kernel functions. The latter allow to model nonline...

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Veröffentlicht in:	arXiv.org 2010-09
1. Verfasser:	Debruyne, Michiel
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification Data analysis Kernel functions Multivariate analysis Outliers (statistics) Proteins Quality assessment Statistical methods Statistics - Applications Strings Support vector machines
Online-Zugang:	Volltext
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