Bayesian programming

Probability as an Alternative to Boolean LogicWhile logic is the mathematical foundation of rational reasoning and the fundamental principle of computing, it is restricted to problems where information is both complete and certain. However, many real-world problems, from financial investments to ema...

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Detalles Bibliográficos
Autores principales: Bessiere, Pierre, Mazer, Emmanuel, Ahuactzin, Juan Manuel, Mekhnacha, Kamel
Lenguaje:eng
Publicado: Taylor and Francis 2013
Materias:
Computing and Computers
Acceso en línea:http://cds.cern.ch/record/1641642
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author Bessiere, Pierre
Mazer, Emmanuel
Ahuactzin, Juan Manuel
Mekhnacha, Kamel
author_facet Bessiere, Pierre
Mazer, Emmanuel
Ahuactzin, Juan Manuel
Mekhnacha, Kamel
author_sort Bessiere, Pierre
collection CERN
description Probability as an Alternative to Boolean LogicWhile logic is the mathematical foundation of rational reasoning and the fundamental principle of computing, it is restricted to problems where information is both complete and certain. However, many real-world problems, from financial investments to email filtering, are incomplete or uncertain in nature. Probability theory and Bayesian computing together provide an alternative framework to deal with incomplete and uncertain data. Decision-Making Tools and Methods for Incomplete and Uncertain DataEmphasizing probability as an alternative to Boolean
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2013
publisher Taylor and Francis
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spelling cern-16416422020-07-16T20:01:43Zhttp://cds.cern.ch/record/1641642engBessiere, PierreMazer, EmmanuelAhuactzin, Juan ManuelMekhnacha, KamelBayesian programmingComputing and ComputersProbability as an Alternative to Boolean LogicWhile logic is the mathematical foundation of rational reasoning and the fundamental principle of computing, it is restricted to problems where information is both complete and certain. However, many real-world problems, from financial investments to email filtering, are incomplete or uncertain in nature. Probability theory and Bayesian computing together provide an alternative framework to deal with incomplete and uncertain data. Decision-Making Tools and Methods for Incomplete and Uncertain DataEmphasizing probability as an alternative to BooleanTaylor and Francisoai:cds.cern.ch:16416422013
spellingShingle Computing and Computers
Bessiere, Pierre
Mazer, Emmanuel
Ahuactzin, Juan Manuel
Mekhnacha, Kamel
Bayesian programming
title Bayesian programming
title_full Bayesian programming
title_fullStr Bayesian programming
title_full_unstemmed Bayesian programming
title_short Bayesian programming
title_sort bayesian programming
topic Computing and Computers
url http://cds.cern.ch/record/1641642
work_keys_str_mv AT bessierepierre bayesianprogramming
AT mazeremmanuel bayesianprogramming
AT ahuactzinjuanmanuel bayesianprogramming
AT mekhnachakamel bayesianprogramming

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