What is the consequence between a node and its predecessors while creating bayesian network?(a) Functionally dependent(b) Dependant(c) Conditionally independent(d) Both Conditionally dependant & DependantI got this question by my college director while I was bunking the class.The question is from Bayesian Networks in portion Uncertain Knowledge and Reasoning of Artificial Intelligence

What is the consequence between a node and its predecessors while crea

1.	What is the consequence between a node and its predecessors while creating bayesian network?(a) Functionally dependent(b) Dependant(c) Conditionally independent(d) Both Conditionally dependant & DependantI got this question by my college director while I was bunking the class.The question is from Bayesian Networks in portion Uncertain Knowledge and Reasoning of Artificial Intelligence
Answer» The correct ANSWER is (c) Conditionally independent The explanation is: The SEMANTICS to DERIVE a method for constructing bayesian networks were led to the consequence that a NODE can be conditionally independent of its PREDECESSORS.

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