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  Measuring Statistical Dependence via the Mutual Information Dimension

Sugiyama, M., & Borgwardt, K. M. (2013). Measuring Statistical Dependence via the Mutual Information Dimension. In F. Rossi (Ed.), Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence (IJCAI'13 ) (pp. 1692-1698). Menlo Park, California: AAAI Press. Retrieved from http://ijcai.org/papers13/contents.php.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0015-386D-7 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0015-386E-5
Genre: Conference Paper

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 Creators:
Sugiyama, M.1, Author           
Borgwardt, K. M.2, Author           
Affiliations:
1Research Group Machine Learning and Computational Biology, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497664              
2Dept. Empirical Inference, Max Planck Institute for Intelligent System, Max Planck Society, ou_1497647              

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Free keywords: Abt. Schölkopf
 Abstract: -

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Language(s): eng - English
 Dates: 2013
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: URI: http://ijcai.org/papers13/contents.php
 Degree: -

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Title: The International Joint Conferences on Artificial Intelligence, Inc. (IJCAI)
Place of Event: Beijing, China
Start-/End Date: 2013-08-03 - 2013-08-09

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Title: Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence (IJCAI'13 )
Source Genre: Proceedings
 Creator(s):
Rossi, Francesca1, Editor
Affiliations:
1 University of Padova, ou_persistent22            
Publ. Info: Menlo Park, California : AAAI Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1692 - 1698 Identifier: ISBN: 978-1-57735-633-2
URI: http://ijcai.org/papers13/Papers/IJCAI13-251.pdf