This HTML5 document contains 48 embedded RDF statements represented using HTML+Microdata notation.

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

Namespace Prefixes

PrefixIRI
dctermshttp://purl.org/dc/terms/
n20http://localhost/temp/predkladatel/
n9http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n4http://linked.opendata.cz/resource/domain/vavai/projekt/
n17http://linked.opendata.cz/resource/domain/vavai/subjekt/
n16http://linked.opendata.cz/ontology/domain/vavai/
n18http://linked.opendata.cz/resource/domain/vavai/zamer/
shttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
rdfshttp://www.w3.org/2000/01/rdf-schema#
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#
n11http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n15http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n14http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F68407700%3A21340%2F13%3A00210441%21RIV14-MSM-21340___/
n21http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n12http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n13http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n8http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n5http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F68407700%3A21340%2F13%3A00210441%21RIV14-MSM-21340___
rdf:type
skos:Concept n16:Vysledek
rdfs:seeAlso
http://www.ssds.sk
dcterms:description
We deal with the new statistical classification method called Divergence Decision Tree (DDT), which links together the basic k-means classification and statistical phi-divergence measures as a decision criterion. K-means as a part of the DDT has several disadvantages, therefore other simple methods, e.g. fuzzy classifier, can be incorporated. Several versions of the DDT algorithm differing in the type of phi-divergences used are tested on data sets coming from single top quark decay channels measured within D0 experiment at Tevatron accelerator in FNAL. We deal with the new statistical classification method called Divergence Decision Tree (DDT), which links together the basic k-means classification and statistical phi-divergence measures as a decision criterion. K-means as a part of the DDT has several disadvantages, therefore other simple methods, e.g. fuzzy classifier, can be incorporated. Several versions of the DDT algorithm differing in the type of phi-divergences used are tested on data sets coming from single top quark decay channels measured within D0 experiment at Tevatron accelerator in FNAL.
dcterms:title
Divergence Decision Trees Used for D0 FNAL Particle Signal Separations Divergence Decision Trees Used for D0 FNAL Particle Signal Separations
skos:prefLabel
Divergence Decision Trees Used for D0 FNAL Particle Signal Separations Divergence Decision Trees Used for D0 FNAL Particle Signal Separations
skos:notation
RIV/68407700:21340/13:00210441!RIV14-MSM-21340___
n16:predkladatel
n17:orjk%3A21340
n3:aktivita
n12:P n12:Z
n3:aktivity
P(LG12020), Z(MSM6840770039)
n3:cisloPeriodika
7
n3:dodaniDat
n5:2014
n3:domaciTvurceVysledku
n9:6760821 n9:8631298 n9:1204963
n3:druhVysledku
n8:J
n3:duvernostUdaju
n15:S
n3:entitaPredkladatele
n14:predkladatel
n3:idSjednocenehoVysledku
70030
n3:idVysledku
RIV/68407700:21340/13:00210441
n3:jazykVysledku
n21:eng
n3:klicovaSlova
Data clustering; Separation tree; phi-divergence; K-means; Rényi divergence; Numerics
n3:klicoveSlovo
n11:phi-divergence n11:Data%20clustering n11:Separation%20tree n11:K-means n11:R%C3%A9nyi%20divergence n11:Numerics
n3:kodStatuVydavatele
SK - Slovenská republika
n3:kontrolniKodProRIV
[C967A97642EA]
n3:nazevZdroje
Forum Statisticum Slovacum
n3:obor
n13:BB
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n4:LG12020
n3:rokUplatneniVysledku
n5:2013
n3:svazekPeriodika
9
n3:tvurceVysledku
Sluková, Michaela Kučera, Jan Kůs, Václav
n3:zamer
n18:MSM6840770039
s:issn
1336-7420
s:numberOfPages
6
n20:organizacniJednotka
21340