A machine learning perspective on repeated measures: Gaussian process panel and 
person-specific EEG modeling

Karch, Julian David

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A machine learning perspective on repeated measures: Gaussian process panel and person-specific EEG modeling

Karch, J. D. (2016). A machine learning perspective on repeated measures: Gaussian process panel and person-specific EEG modeling. PhD Thesis, Humboldt-Universität zu Berlin.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002C-7E54-C Version Permalink: https://hdl.handle.net/21.11116/0000-0005-225B-F

Genre: Thesis

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https://edoc.hu-berlin.de/docviews/abstract.php?lang=&id=43051 (Any fulltext) Open Access status unknown

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Creators:
Karch, Julian David¹, Author
Voelkle, Manuel C.¹, Referee
Boker, Steven M.², Referee
Polk, Thad, Referee

Affiliations:
1Center for Lifespan Psychology, Max Planck Institute for Human Development, Max Planck Society, ou_2074288
2External Organizations, ou_persistent22

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Language(s): eng - English

Dates: Accepted: 2016Date issued: 2016

Publication Status: Issued

Pages: X, 172

Publishing info: Humboldt-Universität zu Berlin

Table of Contents: -

Rev. Type: -

Identifiers: URN: urn:nbn:de:kobv:11-100242270
Other: alg:id10007109

Degree: PhD

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