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Matching of broken random samples with a recurrent neural network

Detalles Bibliográficos
Autor principal: Frühwirth, R
Lenguaje:eng
Publicado: 1994
Materias:
Acceso en línea:http://cds.cern.ch/record/271975
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author Frühwirth, R
author_facet Frühwirth, R
author_sort Frühwirth, R
collection CERN
id cern-271975
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 1994
record_format invenio
spelling cern-2719752019-09-30T06:29:59Zhttp://cds.cern.ch/record/271975engFrühwirth, RMatching of broken random samples with a recurrent neural networkDetectors and Experimental TechniquesHEPHY-PUB-583-REVoai:cds.cern.ch:2719751994-11-07
spellingShingle Detectors and Experimental Techniques
Frühwirth, R
Matching of broken random samples with a recurrent neural network
title Matching of broken random samples with a recurrent neural network
title_full Matching of broken random samples with a recurrent neural network
title_fullStr Matching of broken random samples with a recurrent neural network
title_full_unstemmed Matching of broken random samples with a recurrent neural network
title_short Matching of broken random samples with a recurrent neural network
title_sort matching of broken random samples with a recurrent neural network
topic Detectors and Experimental Techniques
url http://cds.cern.ch/record/271975
work_keys_str_mv AT fruhwirthr matchingofbrokenrandomsampleswitharecurrentneuralnetwork