HIGHLIGHTS
- who: Michail Tsagris from the (UNIVERSITY) have published the research work: The FEDHC Bayesian Network Learning Algorithm, in the Journal: Mathematics 2022, 10, 2604. of /2022/
- what: The paper proposes a new hybrid Bayesian network learning algorithm termed Forward Early Dropping Hill Climbing (FEDHC) devised to work with either continuous or categorical variables. The R package bnlearn contains a few thousand categorical instantiations from these BNs, but for the purpose of the simulation studies more instantiations were generated using the same package. The paper presented robustified (against outliers) versions of FEDHC, PCHC and MMHC.
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