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

Diard, J and Bessiere, P and Mazer, E (2003) A Survey of Probabilistic Models Using the Bayesian Programming Methodology as a Unifying Framework. [Conference Paper]

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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 oers the novice reader a good introduction to these models, while still providing the experienced reader an enriching global view of the field.

Item Type:Conference Paper
Subjects:Computer Science > Robotics
ID Code:3755
Deposited By:malrait, Olivier
Deposited On:10 Aug 2004
Last Modified:11 Mar 2011 08:55

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