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.