Deterministic and Probabilistic Implementation of Context - Archive ouverte HAL Access content directly
Conference Papers Year : 2006

Deterministic and Probabilistic Implementation of Context

(1) , (1) , (1) , (1) , (1)
1

Abstract

This paper addresses the problem of implementing an abstract context model. First, the abstract context model is represented by a network of situations. Two different implementations for the situation model are then proposed: a deterministic one based on Petri nets and a probabilistic one based on Hidden Markov Models. Both implementations are illustrated and applied to real-world problems.
Fichier principal
Vignette du fichier
Brdiczka06a.pdf (355 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

inria-00326530 , version 1 (03-10-2008)

Identifiers

  • HAL Id : inria-00326530 , version 1

Cite

Oliver Brdiczka, Patrick Reignier, James L. Crowley, Dominique Vaufreydaz, Jérôme Maisonnasse. Deterministic and Probabilistic Implementation of Context. IEEE International Conference on Pervasive Computing and Communications Workshops, Mar 2006, Pisa, Italy. 5 p. ⟨inria-00326530⟩
152 View
175 Download

Share

Gmail Facebook Twitter LinkedIn More