Walters-Williams, Janett and Li, Yan (2009) Estimation of mutual information: a survey. In: RSKT 2009: 4th International Conference on Rough Set and Knowledge Technology , 14-16 Jul 2009, Gold Coast, Australia.
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A common problem found in statistics, signal processing, data analysis and image processing research is the estimation of mutual information, which tends to be difficult. The aim of this survey is threefold: an introduction for those new to the field, an overview for those working in the field and a reference for those searching for literature on different estimation methods. In this paper comparison studies on mutual information estimation is considered. The paper starts with a description of entropy and mutual information and it closes with a discussion on the performance of different estimation methods and some future challenges.
|Item Type:||Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)|
|Additional Information:||Print copy held USQ Library 006.3 Rou. Author's version deposited in accordance with the copyright policy of the publisher. This is the authors' version of the work. It is posted here with permission of the publisher for your personal use. No further distribution is permitted. The item is also available in Lecture Notes in Computer Science v. 5589 at http://www.springerlink.com|
|Uncontrolled Keywords:||mutual information; entropy; density estimation|
|Subjects:||280000 Information, Computing and Communication Sciences > 280200 Artificial Intelligence and Signal and Image Processing|
|Depositing User:||Dr Yan Li|
|Date Deposited:||24 Jan 2010 03:09|
|Last Modified:||02 Jul 2013 23:36|
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