Welcome to mdl-research.org    

What is MDL?

The purpose of statistical modeling is to discover regularities in observed data. The success in finding such regularities can be measured by the length with which the data can be described. This is the rationale behind the Minimum Description Length (MDL) Principle introduced by Jorma Rissanen (Rissanen, 1978).

'' The MDL Principle is a relatively recent method for inductive inference. The fundamental idea behind the MDL Principle is that any regularity in a given set of data can be used to compress the data, i.e. to describe it using fewer symbols than needed to describe the data literally. '' (Grünwald, 1998)

What is mdl-research.org?

The mdl-research.org website is intended as a source of information for everyone who wants to know more about MDL. The site contains links and references to suggested reading, tutorials, lecture notes, etc. on MDL as well as links to people who are working on MDL and related topics.

* Reading *

The Reading section contains references to selected papers, books, lecture material, etc., and links to journals and conferences.

* Demonstrations *

The Demonstrations section illustrates MDL through on-line demonstrations, and provides links to software on the web.

* People *

The People section has links to researchers who are working on MDL and related fields. You can find lots of useful information on their homepages.

* Related Topics *

The Related Topics section is a short collection of links to MDL related topics, such as information theory, Bayesian statistics, and learning theory.

* Feedback *

If you have any comments on this site please do not hesitate to give us Feedback.

     

News & Events

August 16-18, 2010. Workshop on Information Theoretic Methods in Science and Engineering, Tampere, Finland.

August 30-September 3, 2010. IEEE Information Theory Workshop, Dublin, Ireland.

February 6-11, 2011. Information Theory and Applications Workshop, San Diego, CA, USA.

July 31-August 5, 2011. IEEE International Symposium on Information Theory, St. Petersburg, Russia.

August 5-10, 2011. Workshop on Information Theoretic Methods in Science and Engineering, Helsinki, Finland.

October 16-20, 2011. IEEE Information Theory Workshop, Paraty, Brazil.

February 5-10, 2012. Information Theory and Applications Workshop, San Diego, CA, USA.

July 1-6, 2012. IEEE International Symposium on Information Theory, Cambridge, MA, USA.

August 27-30, 2012. Workshop on Information Theoretic Methods in Science and Engineering, Amsterdam, the Netherlands.

September 3-7, 2012. IEEE Information Theory Workshop, Lausanne, Switzerland.

February 10-15, 2013. Information Theory and Applications Workshop, San Diego, CA, USA.

July 7-12, 2013.IEEE International Symposium on Information Theory, Istanbul, Turkey.

August 26-29, 2013. Workshop on Information Theoretic Methods in Science and Engineering, Tokyo, Japan.

September 9-13, 2013. IEEE Information Theory Workshop, Seville, Spain.


 

Updated on February 27, 2013. Maintained by the Complex Systems Computation Group.
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