English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
 Local TagsRelease HistoryDetailsSummary
  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.

Item is

 

show all hide all

Basic

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

Files

show Files
hide Files
:
ISBA-2006.pdf (Any fulltext), 126KB
View   Save
File Permalink:
https://hdl.handle.net/21.11116/0000-0004-C3E1-1
Name:
ISBA-2006.pdf
Description:
-
OA-Status:
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
View
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 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              

Content

show

Details

show
hide
Language(s):
 Dates: 2006-06
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: 3985
 Degree: -

Event

show
hide
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

Legal Case

show

Project information

show

Source 1

show
hide
Title: Eighth World Meeting of the International Society for Bayesian Analysis (ISBA 2006)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -