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Physarum Learner: a novel structure learning algorithm for Bayesian Networks inspired by Physarum polycephalum

URN to cite this document:
urn:nbn:de:bvb:355-epub-284154
Schön, Torsten
Date of publication of this fulltext: 12 Jul 2013 11:09


Abstract (English)

Two novel algorithms for learning Bayesian network structure from data based on the true slime mold Physarum polycephalum are introduced. The first algorithm called CPhyL calculates pairwise correlation coeffcients in the dataset. Within an initially fully connected Physarum-Maze, the length of the connections is given by the inverse correlation coeffcient between the connected nodes. Then, the ...

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Translation of the abstract (German)

In dieser Arbeit werden zwei neu entwickelte Strukturlernalgorithmen für Bayesische Netzwerke vorgestellt, welche von dem echten Schleimpilz Physarum polycephalum inspiriert sind. Der erste, C-PhyL genannte, Algorithmus berechnet paarweise Korrelationskoeffizienten in dem Datensatz. Ein Initial voll verbundenes Phyasarum-Maze wird generiert, in welchem die Distanzen zwischen den einzelnen Knoten ...

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