The evolution of boosting algorithms. From machine learning to statistical modelling

The concept of boosting emerged from the field of machine learning. The basic idea is to boost the accuracy of a weak classifying tool by combining various instances into a more accurate prediction. This general concept was later adapted to the field of statistical modelling. Nowadays, boosting algo...

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Veröffentlicht in:	Methods of information in medicine Jg. 53; H. 6; S. 419
Hauptverfasser:	Mayr, A, Binder, H, Gefeller, O, Schmid, M
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Germany 2014
Schlagworte:	Algorithms Artificial Intelligence Biological Science Disciplines Likelihood Functions Machine Learning Models, Statistical Statistical computing algorithms classification machine learning statistical models
ISSN:	2511-705X, 2511-705X
Online-Zugang:	Weitere Angaben
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