Cargando…

Bayesian interpretation of the Neural Net output and its application to test the agreement between two empirical distribution

Detalles Bibliográficos
Autores principales: Garrido, L, Gaitan, V, Serra-Ricart, M
Lenguaje:eng
Publicado: CERN 1992
Materias:
Acceso en línea:https://dx.doi.org/10.5170/CERN-1992-007.661
http://cds.cern.ch/record/401000
_version_ 1780894185176432640
author Garrido, L
Gaitan, V
Serra-Ricart, M
author_facet Garrido, L
Gaitan, V
Serra-Ricart, M
author_sort Garrido, L
collection CERN
id cern-401000
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 1992
publisher CERN
record_format invenio
spelling cern-4010002019-09-30T06:29:59Zdoi:10.5170/CERN-1992-007.661http://cds.cern.ch/record/401000engGarrido, LGaitan, VSerra-Ricart, MBayesian interpretation of the Neural Net output and its application to test the agreement between two empirical distributionDetectors and Experimental TechniquesCERNoai:cds.cern.ch:4010001992
spellingShingle Detectors and Experimental Techniques
Garrido, L
Gaitan, V
Serra-Ricart, M
Bayesian interpretation of the Neural Net output and its application to test the agreement between two empirical distribution
title Bayesian interpretation of the Neural Net output and its application to test the agreement between two empirical distribution
title_full Bayesian interpretation of the Neural Net output and its application to test the agreement between two empirical distribution
title_fullStr Bayesian interpretation of the Neural Net output and its application to test the agreement between two empirical distribution
title_full_unstemmed Bayesian interpretation of the Neural Net output and its application to test the agreement between two empirical distribution
title_short Bayesian interpretation of the Neural Net output and its application to test the agreement between two empirical distribution
title_sort bayesian interpretation of the neural net output and its application to test the agreement between two empirical distribution
topic Detectors and Experimental Techniques
url https://dx.doi.org/10.5170/CERN-1992-007.661
http://cds.cern.ch/record/401000
work_keys_str_mv AT garridol bayesianinterpretationoftheneuralnetoutputanditsapplicationtotesttheagreementbetweentwoempiricaldistribution
AT gaitanv bayesianinterpretationoftheneuralnetoutputanditsapplicationtotesttheagreementbetweentwoempiricaldistribution
AT serraricartm bayesianinterpretationoftheneuralnetoutputanditsapplicationtotesttheagreementbetweentwoempiricaldistribution