Consider a simple Bayesian network with root variables Cold, Flu, and Malaria and child variable Fever ,
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Consider a simple Bayesian network with root variables Cold, Flu, and Malaria and child variable Fever , with a noisy-OR conditional distribution for Fever as described in Section 13.2.2. By adding appropriate auxiliary variables for inhibition events and fever-inducing events, construct an equivalent Bayesian network whose CPTs (except for root variables) are deterministic. Define the CPTs and prove equivalence.
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Related Book For
Artificial Intelligence A Modern Approach
ISBN: 9780134610993
4th Edition
Authors: Stuart Russell, Peter Norvig
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