Probabilistic Reasoning Techniques for Situation Assessments

	This Article
	Subscribers, please Login Purchase article: $19 PDF IEEE Xplore Subscribers RSS feed
	Share
	Email this Article to a friend
	Bibliographic References
	ASCII Text BibTex RefWorks Procite/RefMan/Endnote
	Add to:
	Digg Furl Spurl Blink Simpy Google Del.icio.us Y!MyWeb
	Search
	Similar Articles Articles by Catherine Howard Articles by Markus Stumptner

Third International Conference on Information Technology and Applications (ICITA'05) Volume 1

Sydney, Australia

July 04-July 07

ISBN: 0-7695-2316-1

	ASCII Text	x
	Catherine Howard, Markus Stumptner, "Probabilistic Reasoning Techniques for Situation Assessments," Information Technology and Applications, International Conference on, vol. 1, pp. 383-386, Third International Conference on Information Technology and Applications (ICITA'05) Volume 1, 2005.

	BibTex	x
	@article{ 10.1109/ICITA.2005.219, author = {Catherine Howard and Markus Stumptner}, title = {Probabilistic Reasoning Techniques for Situation Assessments}, journal ={Information Technology and Applications, International Conference on}, volume = {1}, year = {2005}, isbn = {0-7695-2316-1}, pages = {383-386}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICITA.2005.219}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Information Technology and Applications, International Conference on TI - Probabilistic Reasoning Techniques for Situation Assessments SN - 0-7695-2316-1 SP383 EP386 A1 - Catherine Howard, A1 - Markus Stumptner, PY - 2005 KW - null VL - 1 JA - Information Technology and Applications, International Conference on ER -

Catherine Howard, Defence Science and Technology Organisation

Markus Stumptner, University of South Australia

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICITA.2005.219

This paper discusses the application of Object Oriented Probabilistic Relational Models to the formulation of situation assessments in the tactical military domain. Object Oriented Probabilistic Relational Models extend traditional attribute based Bayesian Networks with the concepts of objects, their attributes and the relationships between them by combining a frame-based representation system with Object Oriented Bayesian Networks.

Citation:

Catherine Howard, Markus Stumptner, "Probabilistic Reasoning Techniques for Situation Assessments," icita, vol. 1, pp.383-386, Third International Conference on Information Technology and Applications (ICITA'05) Volume 1, 2005

Peer Review Notice | Give Us Feedback

Usage of this product signifies your acceptance of the Terms of Use.