Mason Archival Repository Service

Credibility Models for Multi-Source Fusion

Show simple item record

dc.contributor.author Wright, Edward J.
dc.contributor.author Laskey, Kathryn B.
dc.date.accessioned 2006-11-21T18:03:26Z
dc.date.available 2006-11-21T18:03:26Z
dc.date.issued 2006-07
dc.identifier.citation Proceedings of the 9th International Conference on Information Fusion en
dc.identifier.uri https://hdl.handle.net/1920/1737
dc.description.abstract This paper presents a technical approach for fusing information from diverse sources. Fusion requires appropriate weighting of information based on the quality of the source of the information. A credibility model characterizes the quality of information based on the source and the circumstances under which the information is collected. In many cases credibility is uncertain, so inference is necessary. Explicit probabilistic credibility models provide a computational model of the quality of the information that allows use of prior information, evidence when available, and opportunities for learning from data. This paper provides an overview of the challenges, describes the advanced probabilistic reasoning tools used to implement credibility models, and provides an example of the use of credibility models in a multi-source fusion process.
dc.format.extent 442257 bytes
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries C4I-06-05 en
dc.subject fusion en_US
dc.subject Bayesian networks en_US
dc.subject pedigree en_US
dc.subject credibility models en_US
dc.subject Multi-Entity Bayesian Networks en_US
dc.title Credibility Models for Multi-Source Fusion en
dc.type Article en


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search MARS


Browse

My Account

Statistics