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42172 Introduction to Artificial Intelligence - Spring 2025 Lec11 class quiz

Matching

For a Bayesian network, match the components on the left-hand-side to the explanations on the right-hand-side. 1: parent node 2: an edge 3: arrow of an edge

Options
A.association between two nodes
B.indicates the link from a parent node to a child nodea child's node
C.a node that does not have a conditional probability distribution
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The task is to match each left-hand item with one of the given explanations on the right. Option analysis for each left item: - Left item 1: 'parent node' The concept of a parent node in a Bayesian network is that it can be a source of influence for its child nodes, i.e., it can have children but is not defined by lacking a conditional probability distribution. In Bayesian networks, every node has a conditional probability distribution (CPT) conditioned on its parents; root nodes have a CPT that serves as a prior. Saying a parent node is 'a node that does not have a conditional probability distribution' is inaccurate in standard terminology, since CPTs exist for all nodes (root nodes hav......Login to view full explanation

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