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What is Unit 2 about?

The document discusses conditional independence relations in Bayesian networks, emphasizing that a node is conditionally independent of its non-descendants given its parents. It also explains the process of exact inference in Bayesian networks, detailing how to compute posterior probabilities using enumeration and variable elimination algorithms. The complexity of these inference methods is influenced by the network structure, with singly connected networks allowing for linear time and space complexity in e

Author
dharshiniuthayakumar
Language
EN

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