Collection of open machine learning papers

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Bayesian networks

Bayesian network is a probabilistic graphical model (a type of statistical model) that represents a set of variables and their conditional dependencies via a directed acyclic graph (DAG) (Wiki


Structure learning

Learning the graph structure that represents the conditional independencies between variables. Main approaches are constraint-based (conditional independence tests) and score-based (goodness-of-fit scores)

Parameter learning

Estimation of the parameters of the global distribution with known graph structure.


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