Podcast Beta
Questions and Answers
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?
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What are some other names for Bayesian Belief Networks (BBNs)?
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