Probabilistic Graphical Models
Probabilistic Graphical Models
Probabilistic Graphical Models
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Structure learningTwo main classes of approaches:Constraint basedSearch for P-map (if one exists):Identify PDAGTurn PDAG into BN (using algorithm in reading)Key problem: Perform independence testsOptimization basedDefine scoring function (e.g., likelihood of data)Think about structure as parametersMore common; can solve simple cases exactly33