Maschinelle Lernverfahren für nieder- und hochdimensionale Probleme

Sariyar, Murat (2016). Maschinelle Lernverfahren für nieder- und hochdimensionale Probleme (Habilitation, Charité - Universitätsmedizin Berlin, Medicine)

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In this habilitation thesis, problems in two different domains (record linkage and high-dimensional data) are addressed by using machine learning approaches. The assumption is that they lead to insights and solutions to which it would be difficult or even impossible to arrive with deterministic and classical statistical methods.

Item Type:

Thesis (Habilitation)

Division/Institute:

School of Engineering and Computer Science > Institut für Medizininformatik I4MI

Name:

Sariyar, Murat

Language:

German

Submitter:

Murat Sariyar

Date Deposited:

18 Nov 2020 10:50

Last Modified:

18 Nov 2020 10:51

ARBOR DOI:

10.24451/arbor.13261

URI:

https://arbor.bfh.ch/id/eprint/13261

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