Testing the performance of some nonparametric pattern recognition algorithms in realistic cases

The success obtained by Statistical Pattern Recognition in many disciplines is certainly related to the quality and availability of many data, normally distributed. However, in other disciplines, the data sets consist of few measurements, often binned, correlated, and not normally distributed. Usual...

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Vydané v:	Pattern recognition Ročník 37; číslo 3; s. 447 - 461
Hlavní autori:	Sandri, Laura, Marzocchi, Warner
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.03.2004
Predmet:	Nonparametric Pattern Recognition Optimal subset of features Synthetic data Volcanological data Nonparametric Pattern Recognition Optimal subset of features Volcanological data Synthetic data
ISSN:	0031-3203, 1873-5142
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