Bayesian Belief Networks: Concepts and Mechanisms Quiz
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Bayesian Belief Networks: Concepts and Mechanisms Quiz

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Explain what Bayesian Belief Networks (BBNs) are and what they represent.

BBNs are a type of probabilistic graphical model that represents the probabilistic relationships among a set of variables based on Bayesian probability theory.

What do the nodes and edges represent in a BBN?

Nodes represent random variables, and edges represent the relationships between variables, with a directed edge from variable A to variable B indicating that A has a direct influence on B.

What are Conditional Probability Tables (CPTs) in a BBN?

Each node in a BBN has an associated CPT, which specifies the probability distribution of the node given its parents in the network.

What is the basis of Bayesian probability theory?

<p>Bayesian probability theory involves updating beliefs about a hypothesis as new evidence becomes available.</p> Signup and view all the answers

What are some other names for Bayesian Belief Networks (BBNs)?

<p>BBNs are also known as Bayesian Networks or Probabilistic Graphical Models.</p> Signup and view all the answers

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