About: Simple and Composed Classifiers Used for Classification of Experimental Data     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • Problems of classification has a great meaning at the handling of information. Statistical approaches, decision trees and approaches of artificial intelligence (sphere of neuron network) belong to standard methods of classification. This paper deals with simple classifiers knearest neighbors, Bayesian classifier, decision tree and also with composed classifiers – Bagging, Boosting and Stacked Generalization applied on experimental data sets.
  • Problems of classification has a great meaning at the handling of information. Statistical approaches, decision trees and approaches of artificial intelligence (sphere of neuron network) belong to standard methods of classification. This paper deals with simple classifiers knearest neighbors, Bayesian classifier, decision tree and also with composed classifiers – Bagging, Boosting and Stacked Generalization applied on experimental data sets. (en)
  • Problems of classification has a great meaning at the handling of information. Statistical approaches, decision trees and approaches of artificial intelligence (sphere of neuron network) belong to standard methods of classification. This paper deals with simple classifiers knearest neighbors, Bayesian classifier, decision tree and also with composed classifiers – Bagging, Boosting and Stacked Generalization applied on experimental data sets. (cs)
Title
  • Simple and Composed Classifiers Used for Classification of Experimental Data
  • Simple and Composed Classifiers Used for Classification of Experimental Data (en)
  • Použití jednoduchých a složených klasifikátorů (cs)
skos:prefLabel
  • Simple and Composed Classifiers Used for Classification of Experimental Data
  • Simple and Composed Classifiers Used for Classification of Experimental Data (en)
  • Použití jednoduchých a složených klasifikátorů (cs)
skos:notation
  • RIV/60460709:41110/08:23982!RIV09-MSM-41110___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6046070904)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 394739
http://linked.open...ai/riv/idVysledku
  • RIV/60460709:41110/08:23982
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Bayesian classifier, decision tree, composed classifiers, Bagging, Boosting and Stacked Generalization (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [191E3C6DB74D]
http://linked.open...v/mistoKonaniAkce
  • Krakow
http://linked.open...i/riv/mistoVydani
  • Krakow
http://linked.open...vEdiceCisloSvazku
  • Neuvedeno, 0
http://linked.open...i/riv/nazevZdroje
  • IEEE Human System Interactions 2008
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Klimešová, Dana
  • Ocelíková, Eva
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
  • IEEE
https://schema.org/isbn
  • 1-4244-1543-8
http://localhost/t...ganizacniJednotka
  • 41110
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 100 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software