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Description
  • This paper compares the performance of parametric and nonparametric discrimination. The multivariate product Gaussian and polynomial kernels with various data-driven choices of the bandwidth are used for density estimators and this nonparametric approaches are compared with classical one by some real and simulated data. The Matlab software environment is used for preprocessing the data and to implement proposed classification methodology. A great attention is focused to the visualization of results.
  • This paper compares the performance of parametric and nonparametric discrimination. The multivariate product Gaussian and polynomial kernels with various data-driven choices of the bandwidth are used for density estimators and this nonparametric approaches are compared with classical one by some real and simulated data. The Matlab software environment is used for preprocessing the data and to implement proposed classification methodology. A great attention is focused to the visualization of results. (en)
  • Je provedeno srovnání parametrické a neparametrické diskriminační analýzy. Neparametrický přístup je založen na jádrovém vyhlazování, kde je velká pozornost věnována automatické volbě vyhlazovacího parametru s ohledem na tvar hraničních křivek. Jednotlivé přístupy jsou demonstrovány na reálných i simulovaných datech. K vizualizaci výsledků byl použit Matlab. (cs)
Title
  • Parametrická a neparametrická diskriminační analýza pomocí jádrových odhadů (cs)
  • A Study of Parametric and Nonparametric Kernel Density Discrimination
  • A Study of Parametric and Nonparametric Kernel Density Discrimination (en)
skos:prefLabel
  • Parametrická a neparametrická diskriminační analýza pomocí jádrových odhadů (cs)
  • A Study of Parametric and Nonparametric Kernel Density Discrimination
  • A Study of Parametric and Nonparametric Kernel Density Discrimination (en)
skos:notation
  • RIV/00216224:14310/04:00021306!RIV08-MSM-14310___
http://linked.open.../vavai/riv/strany
  • 91-91
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM 143100001)
http://linked.open...vai/riv/dodaniDat
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http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
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  • 553209
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14310/04:00021306
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • linear and quadratic discriminant analysis; nonparametric discriminant analysis; kernel density estimation; product kernels; bandwidth choice (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [8FD0DC7102EA]
http://linked.open...v/mistoKonaniAkce
  • Prague
http://linked.open...i/riv/mistoVydani
  • Prague
http://linked.open...i/riv/nazevZdroje
  • COMPSTAT 2004 - Proceedings in Computational Statistics
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Forbelská, Marie
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Physica-Verlag/Springer
https://schema.org/isbn
  • 3-7908-1554-3
http://localhost/t...ganizacniJednotka
  • 14310
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