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Cross-entropy method: a unified approach to combinatorial optimization, monte-carlo simulation and machine learning

Detalles Bibliográficos
Autores principales: Jordan, Michael, Kleinberg, Jon, Schl̲kopf, Bernhard
Lenguaje:eng
Publicado: Springer 2004
Materias:
Acceso en línea:http://cds.cern.ch/record/2695797
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author Jordan, Michael
Kleinberg, Jon
Schl̲kopf, Bernhard
author_facet Jordan, Michael
Kleinberg, Jon
Schl̲kopf, Bernhard
author_sort Jordan, Michael
collection CERN
id cern-2695797
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2004
publisher Springer
record_format invenio
spelling cern-26957972021-04-21T18:18:41Zhttp://cds.cern.ch/record/2695797engJordan, MichaelKleinberg, JonSchl̲kopf, Bernhard Cross-entropy method: a unified approach to combinatorial optimization, monte-carlo simulation and machine learningMathematical Physics and MathematicsSpringeroai:cds.cern.ch:26957972004
spellingShingle Mathematical Physics and Mathematics
Jordan, Michael
Kleinberg, Jon
Schl̲kopf, Bernhard
Cross-entropy method: a unified approach to combinatorial optimization, monte-carlo simulation and machine learning
title Cross-entropy method: a unified approach to combinatorial optimization, monte-carlo simulation and machine learning
title_full Cross-entropy method: a unified approach to combinatorial optimization, monte-carlo simulation and machine learning
title_fullStr Cross-entropy method: a unified approach to combinatorial optimization, monte-carlo simulation and machine learning
title_full_unstemmed Cross-entropy method: a unified approach to combinatorial optimization, monte-carlo simulation and machine learning
title_short Cross-entropy method: a unified approach to combinatorial optimization, monte-carlo simulation and machine learning
title_sort cross-entropy method: a unified approach to combinatorial optimization, monte-carlo simulation and machine learning
topic Mathematical Physics and Mathematics
url http://cds.cern.ch/record/2695797
work_keys_str_mv AT jordanmichael crossentropymethodaunifiedapproachtocombinatorialoptimizationmontecarlosimulationandmachinelearning
AT kleinbergjon crossentropymethodaunifiedapproachtocombinatorialoptimizationmontecarlosimulationandmachinelearning
AT schlkopfbernhard crossentropymethodaunifiedapproachtocombinatorialoptimizationmontecarlosimulationandmachinelearning