Bayesian Inference Under Probability Constraints

Authors:
Anna Pernestål;Mattias Nyberg
Affiliations:
Scania CV AB, Södertälje, Sweden and Dept. of Electrical Engineering, Linköping University, Sweden;Scania CV AB, Södertälje, Sweden and Dept. of Electrical Engineering, Linköping University, Sweden
Venue:
Proceedings of the 2008 conference on Tenth Scandinavian Conference on Artificial Intelligence: SCAI 2008
Year:
2008

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Abstract

Inspired by the problem of fault isolation we consider Bayesian inference from training data and background knowledge. We discuss how the background knowledge can be translated to equality constraints and show how it is introduced in the computations. The main advantage of combining data and background knowledge is achieved when the amount of data is limited.