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What is Bayesian Networks: Probabilistic Inference about?

This document discusses Bayesian networks and parameter learning in Bayesian networks. It begins with an overview of Bayesian networks and probabilistic inference. It then discusses learning probabilities for different types of Bayesian networks through Bayesian parameter estimation. This involves assuming prior distributions for parameters, computing the posterior distribution of parameters given observed data, and generating probability tables for prediction. Learning probabilities in Bayesian networks wi

Author

Kuldeep Sharma

Language

EN