A variable selection package driving Netica with Python

Bayesian Networks (BNs) are useful methods of probabilistically modelling environmental systems. BN performance is sensitive to the number of variables included in the model framework. The selection of the optimum set of variables to include in a BN (“variable selection”) is therefore a key part of...

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Veröffentlicht in:	Environmental modelling & software : with environment data news Jg. 115; S. 1 - 5
Hauptverfasser:	Beuzen, Tomas, Simmons, Joshua
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 01.05.2019 Elsevier Science Ltd
Schlagworte:	artificial intelligence Bayesian analysis Bayesian theory Computer programs computer software Environment models Learning algorithms Machine learning Mathematical models Probabilistic methods Reptiles & amphibians Software Source code
ISSN:	1364-8152, 1873-6726
Online-Zugang:	Volltext
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