Exploiting uncertain and temporal information in correlation

Authors:
J. Bigham
Affiliations:
Department of Electronic Engineering, Queen Mary & Westfield College, London University, London, UK
Venue:
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Year:
1997

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Abstract

A modelling language is decribed which is suitable for the correlation of information when the underlying functional model of the system is incomplete or uncertain and the temporal dependencies are imprecise. An efficient md incremental implementation is outlined which depends on cost functions satisfying certain criteria. Possibilistic logic and probability theory (as it is used in the applications targetted) satisfy these criteria.