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  Sequential Batch Design for Gaussian Processes Employing Marginalization

Preuss, R., & Toussaint, U. v. (2017). Sequential Batch Design for Gaussian Processes Employing Marginalization. Entropy, 19(2): 84. doi:10.3390/e19020084.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002D-06F4-F Version Permalink: https://hdl.handle.net/21.11116/0000-0006-03E2-7
Genre: Journal Article

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preuss_sequential.pdf (Supplementary material), 416KB
 
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http://dx.doi.org/10.3390/e19020084 (Publisher version)
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 Creators:
Preuss, R.1, Author           
Toussaint, U. von1, Author           
Affiliations:
1Numerical Methods in Plasma Physics (NMPP), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856344              

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Free keywords: Konferenzbeitrag
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Language(s): eng - English
 Dates: 201620172017
 Publication Status: Published online
 Pages: 12 p.
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.3390/e19020084
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Project name : Euratom Research and Training Programme 2014-2018 – EUROfusion
Grant ID : 633053
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

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Title: Entropy
Source Genre: Journal
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Publ. Info: Basel : Molecular Diversity Preservation International
Pages: - Volume / Issue: 19 (2) Sequence Number: 84 Start / End Page: - Identifier: ISSN: 1099-4300
CoNE: https://pure.mpg.de/cone/journals/resource/110978984445793