This HTML5 document contains 45 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
n16http://linked.opendata.cz/ontology/domain/vavai/riv/typAkce/
dctermshttp://purl.org/dc/terms/
n20http://purl.org/net/nknouf/ns/bibtex#
n6http://localhost/temp/predkladatel/
n7http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n21http://linked.opendata.cz/ontology/domain/vavai/
n14https://schema.org/
n4http://linked.opendata.cz/resource/domain/vavai/zamer/
shttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
n3http://linked.opendata.cz/ontology/domain/vavai/riv/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n12http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n17http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n19http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n15http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n11http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n13http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F60461373%3A22340%2F08%3A00020876%21RIV09-MSM-22340___/
n10http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n8http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F60461373%3A22340%2F08%3A00020876%21RIV09-MSM-22340___
rdf:type
skos:Concept n21:Vysledek
dcterms:description
Multiclassification can be designed to be soft with constrained gain. The classifier is learned to have maximum sensitivity for the worst class. Multiclassification can be designed to be soft with constrained gain. The classifier is learned to have maximum sensitivity for the worst class. Multiclassification can be designed to be soft with constrained gain. The classifier is learned to have maximum sensitivity for the worst class.
dcterms:title
Learning of Soft Classifier via Differential Evolution Learning of Soft Classifier via Differential Evolution Learning of Soft Classifier via Differential Evolution
skos:prefLabel
Learning of Soft Classifier via Differential Evolution Learning of Soft Classifier via Differential Evolution Learning of Soft Classifier via Differential Evolution
skos:notation
RIV/60461373:22340/08:00020876!RIV09-MSM-22340___
n3:aktivita
n15:Z
n3:aktivity
Z(MSM6046137306)
n3:dodaniDat
n8:2009
n3:domaciTvurceVysledku
n7:2685337
n3:druhVysledku
n10:D
n3:duvernostUdaju
n17:S
n3:entitaPredkladatele
n13:predkladatel
n3:idSjednocenehoVysledku
376420
n3:idVysledku
RIV/60461373:22340/08:00020876
n3:jazykVysledku
n19:cze
n3:klicovaSlova
soft computing; constrained gain; maximum sensitivity; classification; d ifferential evolution
n3:klicoveSlovo
n12:soft%20computing n12:classification n12:maximum%20sensitivity n12:constrained%20gain n12:d%20ifferential%20evolution
n3:kontrolniKodProRIV
[B03867B607DE]
n3:mistoKonaniAkce
Brno
n3:mistoVydani
Brno
n3:nazevZdroje
Proc. 14th Int. Conf. on Soft Computing MENDEL
n3:obor
n11:JD
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n8:2008
n3:tvurceVysledku
Vyšata, Oldřich Kukal, Jaromír
n3:typAkce
n16:EUR
n3:zahajeniAkce
2008-06-18+02:00
n3:zamer
n4:MSM6046137306
s:numberOfPages
5
n20:hasPublisher
Vysoké učení technické v Brně
n14:isbn
978-80-214-3675-6
n6:organizacniJednotka
22340