About: Statistical Expectation of High Energy Physics Data Sets Separation Algorithms

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

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Article focuses on the application of the basic results of the statistical learning theory known as Probabilistic Approximately Correct learning in the evaluation and post-processing of unique physical data obtained from the detectors of particle accelerators. The aim of this article is not direct separation of the measured data but evaluation of the appropriateness of separation methods used. The main principles and results of the PAC learning theory are briefly summarized, the main characteristics of selected multivariable data separation algorithms are studied from the VC-dimension point of view. Finally, based on actual data sets obtained from Tevatron D$\emptyset$ experiment, some practical hints for separation method selection and numerical computation are derived. Article focuses on the application of the basic results of the statistical learning theory known as Probabilistic Approximately Correct learning in the evaluation and post-processing of unique physical data obtained from the detectors of particle accelerators. The aim of this article is not direct separation of the measured data but evaluation of the appropriateness of separation methods used. The main principles and results of the PAC learning theory are briefly summarized, the main characteristics of selected multivariable data separation algorithms are studied from the VC-dimension point of view. Finally, based on actual data sets obtained from Tevatron D$\emptyset$ experiment, some practical hints for separation method selection and numerical computation are derived. (en)
Title	Statistical Expectation of High Energy Physics Data Sets Separation Algorithms Statistical Expectation of High Energy Physics Data Sets Separation Algorithms (en)
skos:prefLabel	Statistical Expectation of High Energy Physics Data Sets Separation Algorithms Statistical Expectation of High Energy Physics Data Sets Separation Algorithms (en)
skos:notation	RIV/67985807:_____/13:00421461!RIV14-MSM-67985807
http://linked.open...avai/riv/aktivita	I P
http://linked.open...avai/riv/aktivity	I, P(LG12020)
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Hakl, František
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Ústav informatiky AV ČR, v. v. i.
http://linked.open...dnocenehoVysledku	107771
http://linked.open...ai/riv/idVysledku	RIV/67985807:_____/13:00421461
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Probably Approximately Correct Learning; Refutability; HEP data separation; Neural networks; Decision trees; VC-dimension (en)
http://linked.open.../riv/klicoveSlovo	VC-dimension HEP data separation Probably Approximately Correct Learning Refutability Neural networks Decision trees
http://linked.open...ontrolniKodProRIV	[4F310F70DD9E]
http://linked.open...v/mistoKonaniAkce	Nebřich
http://linked.open...i/riv/mistoVydani	Praha
http://linked.open...i/riv/nazevZdroje	Stochastic and Physical Monitoring Systems 2013
http://linked.open...in/vavai/riv/obor	BB
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	1 (xsd:int)
http://linked.open...vavai/riv/projekt	Advanced statistical analysis and non-statistical separation techniques for physical processing detection in data sets sampled by means of elementary particle accelerators.
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Hakl, František
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2013-06-24 (xsd:date)
number of pages	10 (xsd:int)
http://purl.org/ne...btex#hasPublisher	ČVUT Praha Fakulta jaderná a fyzikálně inženýrská
https://schema.org/isbn	978-80-01-05383-6

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