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  A Permutation-Based Kernel Conditional Independence Test

Doran, G., Muandet, K., Zhang, K., & Schölkopf, B. (2014). A Permutation-Based Kernel Conditional Independence Test. In N. L. Zhang, & J. Tian (Eds.), Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence (UAI2014) (pp. 132-141). Corvallis, Oregon: AUAI Press.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0025-BD5B-8 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0028-540A-C
Genre: Conference Paper

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 Creators:
Doran, G., Author
Muandet, K.1, Author           
Zhang, K1, Author           
Schölkopf, B.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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 Dates: 2014
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: DoranMZS2014
 Degree: -

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Title: 30th Conference on Uncertainty in Artificial Intelligence (UAI 2014)
Place of Event: Quebec City, Quebec, Canada
Start-/End Date: 2014-07-23 - 2014-07-27

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Title: Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence (UAI2014)
Source Genre: Proceedings
 Creator(s):
Zhang, Nevin L., Editor
Tian, Jin, Editor
Affiliations:
-
Publ. Info: Corvallis, Oregon : AUAI Press
Pages: - Volume / Issue: - Sequence Number: ID: 194 Start / End Page: 132 - 141 Identifier: URI: http://auai.org/uai2014/acceptedPapers.shtml
ISBN: 978-­0-­9749039-­1-0