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2008 | 18 | 4 | 455-464
Tytuł artykułu

Random projection RBF nets for multidimensional density estimation

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The dimensionality and the amount of data that need to be processed when intensive data streams are observed grow rapidly together with the development of sensors arrays, CCD and CMOS cameras and other devices. The aim of this paper is to propose an approach to dimensionality reduction as a first stage of training RBF nets. As a vehicle for presenting the ideas, the problem of estimating multivariate probability densities is chosen. The linear projection method is briefly surveyed. Using random projections as the first (additional) layer, we are able to reduce the dimensionality of input data. Bounds on the accuracy of RBF nets equipped with a random projection layer in comparison to RBF nets without dimensionality reduction are established. Finally, the results of simulations concerning multidimensional density estimation are briefly reported.
Rocznik
Tom
18
Numer
4
Strony
455-464
Opis fizyczny
Daty
wydano
2008
otrzymano
2007-12-04
poprawiono
2008-05-15
Twórcy
  • Institute of Computer Engineering, Automation and Robotics, Wrocław University of Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland
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Typ dokumentu
Bibliografia
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Identyfikator YADDA
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