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"A Survey of Probabilistic Models Using the Bayesian Programming Methodology as a Unifying Framework"^^ .
"This paper presents a survey of the most common\nprobabilistic models for artefact conception. We use\na generic formalism called Bayesian Programming,\nwhich we introduce briefly, for reviewing the main\nprobabilistic models found in the literature. Indeed,\nwe show that Bayesian Networks, Markov Localization,\nKalman filters, etc., can all be captured under this single\nformalism. We believe it oers the novice reader a\ngood introduction to these models, while still providing\nthe experienced reader an enriching global view of the\nfield."^^ .
"2003" .
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"J"^^ .
"Diard"^^ .
"J Diard"^^ .
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"E"^^ .
"Mazer"^^ .
"E Mazer"^^ .
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"P"^^ .
"Bessiere"^^ .
"P Bessiere"^^ .
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"A Survey of Probabilistic Models Using the Bayesian Programming Methodology as a Unifying Framework (PDF)"^^ .
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"Diard03a.pdf"^^ .
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"A Survey of Probabilistic Models Using the Bayesian Programming Methodology as a Unifying Framework (Image (PNG))"^^ .
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"A Survey of Probabilistic Models Using the Bayesian Programming Methodology as a Unifying Framework (Indexer Terms)"^^ .
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"indexcodes.txt"^^ .
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"HTML Summary of #3755 \n\nA Survey of Probabilistic Models Using the Bayesian Programming Methodology as a Unifying Framework\n\n" .
"text/html" .
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"Robotics" .
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