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  Nonstationary Gaussian Process Regression using a Latent Extension of the Input Space

Pfingsten, T., Kuss, M., & Rasmussen, C. (2006). Nonstationary Gaussian Process Regression using a Latent Extension of the Input Space. Poster presented at Eighth World Meeting of the International Society for Bayesian Analysis (ISBA 2006), Benidorm, Spain.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-D2F9-A Version Permalink: http://hdl.handle.net/21.11116/0000-0004-C3E0-2
Genre: Poster

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ISBA-2006.pdf (Any fulltext), 126KB
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 Creators:
Pfingsten, T1, 2, Author              
Kuss, M1, 2, Author              
Rasmussen, CE1, 2, Author              
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Dates: 2006-06
 Publication Status: Published online
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 Identifiers: BibTex Citekey: 3985
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Title: Eighth World Meeting of the International Society for Bayesian Analysis (ISBA 2006)
Place of Event: Benidorm, Spain
Start-/End Date: 2006-06-02 - 2006-06-06

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Title: Eighth World Meeting of the International Society for Bayesian Analysis (ISBA 2006)
Source Genre: Proceedings
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