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.
Type de document :
Communication dans un congrès
--, 2003, France. 2003
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-00019254
Contributeur : Pierre Bessiere <>
Soumis le : vendredi 10 mars 2006 - 12:00:15
Dernière modification le : jeudi 7 février 2019 - 16:31:12
Document(s) archivé(s) le : samedi 3 avril 2010 - 22:29:47

Fichier

Identifiants

  • HAL Id : hal-00019254, version 1

Collections

INRIA | UGA | IMAG

Citation

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

Partager

Métriques

Consultations de la notice

536

Téléchargements de fichiers

1187