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Nonparametric Kernel Density Estimation and Its Computational Aspects

This book describes computational problems related to kernel density estimation (KDE) - one of the most important and widely used data smoothing techniques. A very detailed description of novel FFT-based algorithms for both KDE computations and bandwidth selection are presented. The theory of KDE ap...

Detaylı Bibliyografya
Yazar:	Gramacki, Artur (Yazar)
Müşterek Yazar:	SpringerLink (Online service)
Materyal Türü:	e-Kitap
Dil:	İngilizce
Baskı/Yayın Bilgisi:	Cham : Springer International Publishing : 2018. Imprint: Springer,
Edisyon:	1st ed. 2018.
Seri Bilgileri:	Studies in Big Data, 37
Konular:	Computational intelligence. Artificial intelligence. Big data. Computational Intelligence. Artificial Intelligence. Big Data.
Online Erişim:	Full-text access

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