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Hard and soft EM in bayesian network learning from incomplete data

Ruggieri, Andrea ; Stranieri, Francesco ; Stella, Fabio ; Scutari, Marco

In: Algorithms, 2020, vol. 13, no. 12, p. 17

Incomplete data are a common feature in many domains, from clinical trials to industrial applications. Bayesian networks (BNs) are often used in these domains because of their graphical and causal interpretations. BN parameter learning from incomplete data is usually implemented with the Expectation-Maximisation algorithm (EM), which computes the relevant sufficient statistics (“soft EM”) ...