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Integrating machine learning approaches into network science: exemplary applications and novel algorithms

URN to cite this document:
urn:nbn:de:bvb:355-epub-199125
Blöchl, Florian
Date of publication of this fulltext: 04 Mar 2011 15:52


Abstract (English)

The goal of this PhD thesis is to exemplify how methods to model complex systems, mainly the language of complex network science, and machine learning approaches can profit from each other. Thereby it deals with several projects arising from concrete questions to different complex systems from multiple fields of science. An introductory chapter explains important clustering algorithms and blind ...

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Translation of the abstract (German)

Das Ziel dieser Doktorarbeit ist es, beispielhaft zu zeigen, wie Methoden zur Modellierung komplexer Systeme - vor Allem die Sprache komplexer Netzwerke - und maschinelle Lernansätze voneinander profitieren können. Dabei behandelt sie mehrere Projekte, die aus konkreten Fragen an verschiedene komplexe Systeme aus unterschiedlichen wissenschaftlichen Disziplinen entspringen. Ein einführendes ...

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