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  Hypothesis testing using pairwise distances and associated kernels

Sejdinovic, D., Gretton, A., Sriperumbudur, B., & Fukumizu, K. (2012). Hypothesis testing using pairwise distances and associated kernels. In J. Langford, & J. Pineau (Eds.), Proceedings of the 29th International Conference on Machine Learning (pp. 1111-1118). New York, NY, USA: Omnipress.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000E-FE1F-8 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-000E-FE20-2
Genre: Conference Paper

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 Creators:
Sejdinovic, D, Author
Gretton, A1, Author           
Sriperumbudur, B2, Author           
Fukumizu, K1, Author           
Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              
2Dept. Empirical Inference, Max Planck Institute for Intelligent System, Max Planck Society, ou_1497647              

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Free keywords: Abt. Schölkopf
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 Dates: 2012
 Publication Status: Issued
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 Rev. Type: -
 Identifiers: BibTex Citekey: SejdinovicGSFJ2012
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Title: ICML 2012
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Title: Proceedings of the 29th International Conference on Machine Learning
Source Genre: Proceedings
 Creator(s):
Langford, J, Editor
Pineau, J, Editor
Affiliations:
-
Publ. Info: New York, NY, USA : Omnipress
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1111 - 1118 Identifier: -