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Query DAGs: A Practical Paradigm for Implementing Belief Network Inference
We describe a new paradigm for implementing inference in belief networks, which relies on compiling a belief network into an arithmetic expression called a Query DAG (Q-DAG).
A Logical Interpretation of Dempster-Shafer Theory, with Application to Visual Recognition
Given a set of propositional clauses, assigning weights to certain propositional literals enables the Belief functions to be explicitly computed using Network Reliability techniques.
What is an Optimal Diagnosis?
We argue that the most appropriate definition of (optimal) diagnosis needs to take into account the utility of outcomes and what the diagnosis is used for.
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