Full Joint Probability Distribution Bayesian Networks
Joint distribution requires a lot of storage space • For N variables, each taking k values, the joint distribution has kN numbers (and kN – 1 degrees of freedom) •It would be nice to use fewer numbers … • Bayesian Networks to the rescue! Provides a decomposed representation of the FJPD Encodes a collection of conditional independence
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