Matches in SemOpenAlex for { <https://semopenalex.org/work/W2994224889> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W2994224889 abstract "Data analysis in high energy physics has to deal with data samples produced from different sources. One of the most widely used ways to unfold their contributions is the sPlot technique. It uses the results of a maximum likelihood fit to assign weights to events. Some weights produced by sPlot are by design negative. Negative weights make it difficult to apply machine learning methods. The loss function becomes unbounded. This leads to divergent neural network training. In this paper we propose a mathematically rigorous way to transform the weights obtained by sPlot into class probabilities conditioned on observables, thus enabling to apply any machine learning algorithm out-of-the-box." @default.
- W2994224889 created "2019-12-13" @default.
- W2994224889 creator A5070285169 @default.
- W2994224889 creator A5090626270 @default.
- W2994224889 date "2020-04-01" @default.
- W2994224889 modified "2023-09-25" @default.
- W2994224889 title "Machine Learning on sWeighted data" @default.
- W2994224889 cites W1503054655 @default.
- W2994224889 cites W2791833700 @default.
- W2994224889 cites W3100194670 @default.
- W2994224889 cites W3103899367 @default.
- W2994224889 doi "https://doi.org/10.1088/1742-6596/1525/1/012088" @default.
- W2994224889 hasPublicationYear "2020" @default.
- W2994224889 type Work @default.
- W2994224889 sameAs 2994224889 @default.
- W2994224889 citedByCount "1" @default.
- W2994224889 countsByYear W29942248892020 @default.
- W2994224889 crossrefType "journal-article" @default.
- W2994224889 hasAuthorship W2994224889A5070285169 @default.
- W2994224889 hasAuthorship W2994224889A5090626270 @default.
- W2994224889 hasBestOaLocation W29942248891 @default.
- W2994224889 hasConcept C105795698 @default.
- W2994224889 hasConcept C11413529 @default.
- W2994224889 hasConcept C119857082 @default.
- W2994224889 hasConcept C121332964 @default.
- W2994224889 hasConcept C14036430 @default.
- W2994224889 hasConcept C154945302 @default.
- W2994224889 hasConcept C186370098 @default.
- W2994224889 hasConcept C2777212361 @default.
- W2994224889 hasConcept C32848918 @default.
- W2994224889 hasConcept C33923547 @default.
- W2994224889 hasConcept C41008148 @default.
- W2994224889 hasConcept C50644808 @default.
- W2994224889 hasConcept C62520636 @default.
- W2994224889 hasConcept C78458016 @default.
- W2994224889 hasConcept C86803240 @default.
- W2994224889 hasConceptScore W2994224889C105795698 @default.
- W2994224889 hasConceptScore W2994224889C11413529 @default.
- W2994224889 hasConceptScore W2994224889C119857082 @default.
- W2994224889 hasConceptScore W2994224889C121332964 @default.
- W2994224889 hasConceptScore W2994224889C14036430 @default.
- W2994224889 hasConceptScore W2994224889C154945302 @default.
- W2994224889 hasConceptScore W2994224889C186370098 @default.
- W2994224889 hasConceptScore W2994224889C2777212361 @default.
- W2994224889 hasConceptScore W2994224889C32848918 @default.
- W2994224889 hasConceptScore W2994224889C33923547 @default.
- W2994224889 hasConceptScore W2994224889C41008148 @default.
- W2994224889 hasConceptScore W2994224889C50644808 @default.
- W2994224889 hasConceptScore W2994224889C62520636 @default.
- W2994224889 hasConceptScore W2994224889C78458016 @default.
- W2994224889 hasConceptScore W2994224889C86803240 @default.
- W2994224889 hasLocation W29942248891 @default.
- W2994224889 hasLocation W29942248892 @default.
- W2994224889 hasLocation W29942248893 @default.
- W2994224889 hasOpenAccess W2994224889 @default.
- W2994224889 hasPrimaryLocation W29942248891 @default.
- W2994224889 hasRelatedWork W184185418 @default.
- W2994224889 hasRelatedWork W1960700909 @default.
- W2994224889 hasRelatedWork W2079182758 @default.
- W2994224889 hasRelatedWork W2131944683 @default.
- W2994224889 hasRelatedWork W2135406588 @default.
- W2994224889 hasRelatedWork W2187000089 @default.
- W2994224889 hasRelatedWork W2210864573 @default.
- W2994224889 hasRelatedWork W2246417778 @default.
- W2994224889 hasRelatedWork W228248788 @default.
- W2994224889 hasRelatedWork W2621769506 @default.
- W2994224889 hasRelatedWork W2741243237 @default.
- W2994224889 hasRelatedWork W2750570252 @default.
- W2994224889 hasRelatedWork W2752585447 @default.
- W2994224889 hasRelatedWork W2911427979 @default.
- W2994224889 hasRelatedWork W3021678865 @default.
- W2994224889 hasRelatedWork W3035326363 @default.
- W2994224889 hasRelatedWork W3100556893 @default.
- W2994224889 hasRelatedWork W3107015477 @default.
- W2994224889 hasRelatedWork W3200863653 @default.
- W2994224889 hasRelatedWork W83458473 @default.
- W2994224889 isParatext "false" @default.
- W2994224889 isRetracted "false" @default.
- W2994224889 magId "2994224889" @default.
- W2994224889 workType "article" @default.