Sariyar, Murat (2016). Maschinelle Lernverfahren für nieder- und hochdimensionale Probleme (Habilitation, Charité - Universitätsmedizin Berlin, Medicine)
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e-habilschrift_sariyar_2016.pdf - Published Version Available under License Publisher holds Copyright. Download (469kB) | Preview |
Official URL: https://refubium.fu-berlin.de/handle/fub188/4721?s...
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: |
Doctoral Thesis (Habilitation) |
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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: |
22 Jun 2022 10:54 |
Additional Information: |
Die Erlaubnis, diese PDF-Datei im ARBOR-Repository zu veröffentlichen, wurde eingeholt |
ARBOR DOI: |
10.24451/arbor.13261 |
URI: |
https://arbor.bfh.ch/id/eprint/13261 |
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