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Journal ArticleDOI
I Lira, G Kyriazis 
01 Jun 1999-Metrologia
18 Citations
It is concluded that Bayesian inference allows a flexible and natural characterization of the measurement uncertainty.
It is also demonstrated that the findings enable the generalisation of Bayesian inference to evidential reasoning with inaccurate probability information with weight and reliability.
These results suggest that exemplar models provide a possible mechanism for implementing at least some forms of Bayesian inference.
Open accessJournal ArticleDOI
Henry Markovits, Simon J. Handley 
01 Oct 2005-Memory & Cognition
18 Citations
These results provide a clearer understanding of the relations between probabilistic and deductive inferences and the limitations of trying to consider these two forms of inference as having a single underlying process.
Book ChapterDOI
Oleg Kiselyov, Chung-chieh Shan 
02 Jul 2009
109 Citations
Inference algorithms can easily be embedded in probabilistic programs themselves.
Book ChapterDOI
Michael Wachter, Rolf Haenni 
31 Oct 2007
14 Citations
Therefore, our approach is a potential solution for real-time applications of probabilistic inference with limited computational resources.

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