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  Active Uncertainty Calibration in Bayesian ODE Solvers

Kersting, H., & Hennig, P. (2016). Active Uncertainty Calibration in Bayesian ODE Solvers. In A. Ihler, & D. Janzing (Eds.), 32nd Conference on Uncertainty in Artificial Intelligence 2016 (pp. 309-318). Red Hook, NY: Curran Associates, Inc. Retrieved from http://dl.acm.org/citation.cfm?id=3020948.3020981.

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 Creators:
Kersting, H.1, Author           
Hennig, P.1, Author           
Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

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Free keywords: Abt. Schölkopf
 Abstract: -

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Language(s): eng - English
 Dates: 2016-06-252016-10
 Publication Status: Issued
 Pages: 10
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Degree: -

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Title: 32nd Conference on Uncertainty in Artificial Intelligence (UAI 2016)
Place of Event: Jersey City, NJ, USA
Start-/End Date: 2016-06-25 - 2016-06-29

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Title: 32nd Conference on Uncertainty in Artificial Intelligence 2016
  Other : UAI'16: Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence
Source Genre: Proceedings
 Creator(s):
Ihler, Alexander1, Editor
Janzing, Dominik1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Red Hook, NY : Curran Associates, Inc.
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 309 - 318 Identifier: ISBN: 978-0-9966431-1-5
ISBN: 978-1-5108-2780-6
URI: https://dl.acm.org/citation.cfm?id=3020948&picked=prox