Matches in SemOpenAlex for { <https://semopenalex.org/work/W2004388181> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W2004388181 endingPage "012028" @default.
- W2004388181 startingPage "012028" @default.
- W2004388181 abstract "Multivariate analysis (MVA) methods, especially discrimination techniques such as neural networks, are key ingredients in modern data analysis and play an important role in high energy physics. They are usually trained on simulated Monte Carlo (MC) samples to discriminate so called signal from background events and are then applied to data to select real events of signal type. We here address procedures that improve this work flow. This will be the enhancement of data / MC agreement by reweighting MC samples on a per event basis. Then training MVAs on real data using the sPlot technique will be discussed. Finally we will address the construction of MVAs whose discriminator is independent of a certain control variable, i.e. cuts on this variable will not change the discriminator shape." @default.
- W2004388181 created "2016-06-24" @default.
- W2004388181 creator A5006467361 @default.
- W2004388181 creator A5040324063 @default.
- W2004388181 creator A5068880487 @default.
- W2004388181 creator A5080538286 @default.
- W2004388181 date "2012-06-21" @default.
- W2004388181 modified "2023-09-30" @default.
- W2004388181 title "Advanced event reweighting using multivariate analysis" @default.
- W2004388181 cites W1542735561 @default.
- W2004388181 cites W2116613077 @default.
- W2004388181 doi "https://doi.org/10.1088/1742-6596/368/1/012028" @default.
- W2004388181 hasPublicationYear "2012" @default.
- W2004388181 type Work @default.
- W2004388181 sameAs 2004388181 @default.
- W2004388181 citedByCount "15" @default.
- W2004388181 countsByYear W20043881812013 @default.
- W2004388181 countsByYear W20043881812017 @default.
- W2004388181 countsByYear W20043881812018 @default.
- W2004388181 countsByYear W20043881812019 @default.
- W2004388181 countsByYear W20043881812020 @default.
- W2004388181 countsByYear W20043881812021 @default.
- W2004388181 countsByYear W20043881812022 @default.
- W2004388181 countsByYear W20043881812023 @default.
- W2004388181 crossrefType "journal-article" @default.
- W2004388181 hasAuthorship W2004388181A5006467361 @default.
- W2004388181 hasAuthorship W2004388181A5040324063 @default.
- W2004388181 hasAuthorship W2004388181A5068880487 @default.
- W2004388181 hasAuthorship W2004388181A5080538286 @default.
- W2004388181 hasBestOaLocation W20043881811 @default.
- W2004388181 hasConcept C105795698 @default.
- W2004388181 hasConcept C119857082 @default.
- W2004388181 hasConcept C121332964 @default.
- W2004388181 hasConcept C124101348 @default.
- W2004388181 hasConcept C153180895 @default.
- W2004388181 hasConcept C154945302 @default.
- W2004388181 hasConcept C161584116 @default.
- W2004388181 hasConcept C186370098 @default.
- W2004388181 hasConcept C19499675 @default.
- W2004388181 hasConcept C199360897 @default.
- W2004388181 hasConcept C2779662365 @default.
- W2004388181 hasConcept C2779803651 @default.
- W2004388181 hasConcept C2779843651 @default.
- W2004388181 hasConcept C33923547 @default.
- W2004388181 hasConcept C41008148 @default.
- W2004388181 hasConcept C62520636 @default.
- W2004388181 hasConcept C76155785 @default.
- W2004388181 hasConcept C87007009 @default.
- W2004388181 hasConcept C94915269 @default.
- W2004388181 hasConceptScore W2004388181C105795698 @default.
- W2004388181 hasConceptScore W2004388181C119857082 @default.
- W2004388181 hasConceptScore W2004388181C121332964 @default.
- W2004388181 hasConceptScore W2004388181C124101348 @default.
- W2004388181 hasConceptScore W2004388181C153180895 @default.
- W2004388181 hasConceptScore W2004388181C154945302 @default.
- W2004388181 hasConceptScore W2004388181C161584116 @default.
- W2004388181 hasConceptScore W2004388181C186370098 @default.
- W2004388181 hasConceptScore W2004388181C19499675 @default.
- W2004388181 hasConceptScore W2004388181C199360897 @default.
- W2004388181 hasConceptScore W2004388181C2779662365 @default.
- W2004388181 hasConceptScore W2004388181C2779803651 @default.
- W2004388181 hasConceptScore W2004388181C2779843651 @default.
- W2004388181 hasConceptScore W2004388181C33923547 @default.
- W2004388181 hasConceptScore W2004388181C41008148 @default.
- W2004388181 hasConceptScore W2004388181C62520636 @default.
- W2004388181 hasConceptScore W2004388181C76155785 @default.
- W2004388181 hasConceptScore W2004388181C87007009 @default.
- W2004388181 hasConceptScore W2004388181C94915269 @default.
- W2004388181 hasLocation W20043881811 @default.
- W2004388181 hasOpenAccess W2004388181 @default.
- W2004388181 hasPrimaryLocation W20043881811 @default.
- W2004388181 hasRelatedWork W1567705770 @default.
- W2004388181 hasRelatedWork W2028826666 @default.
- W2004388181 hasRelatedWork W2033914206 @default.
- W2004388181 hasRelatedWork W2048034214 @default.
- W2004388181 hasRelatedWork W2129945984 @default.
- W2004388181 hasRelatedWork W2146076056 @default.
- W2004388181 hasRelatedWork W2163831990 @default.
- W2004388181 hasRelatedWork W3003836766 @default.
- W2004388181 hasRelatedWork W4280544492 @default.
- W2004388181 hasRelatedWork W4312963184 @default.
- W2004388181 hasVolume "368" @default.
- W2004388181 isParatext "false" @default.
- W2004388181 isRetracted "false" @default.
- W2004388181 magId "2004388181" @default.
- W2004388181 workType "article" @default.