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A Survey of Probabilistic Models Using the Bayesian Programming Methodology as a Unifying Framework

Julien Diard 1 Pierre Bessiere 1 Emmanuel Mazer 1
1 E-MOTION - Geometry and Probability for Motion and Action
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes
Abstract : This paper presents a survey of the most common probabilistic models for artefact conception. We use a generic formalism called Bayesian Programming, which we introduce briefly, for reviewing the main probabilistic models found in the literature. Indeed, we show that Bayesian Networks, Markov Localization, Kalman filters, etc., can all be captured under this single formalism. We believe it offers the novice reader a good introduction to these models, while still providing the experience reader an enriching global view of the field.
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https://hal.archives-ouvertes.fr/hal-00019254
Contributor : Pierre Bessiere <>
Submitted on : Friday, March 10, 2006 - 12:00:15 PM
Last modification on : Friday, June 26, 2020 - 4:04:02 PM
Document(s) archivé(s) le : Saturday, April 3, 2010 - 10:29:47 PM

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  • HAL Id : hal-00019254, version 1

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Julien Diard, Pierre Bessiere, Emmanuel Mazer. A Survey of Probabilistic Models Using the Bayesian Programming Methodology as a Unifying Framework. --, 2003, France. ⟨hal-00019254⟩

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