|
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.
 |
The Reading section contains references
to selected papers, books, lecture material, etc., and links to journals
and conferences. |
 |
The Demonstrations section
illustrates MDL through on-line demonstrations, and provides links to
software on the web.
|
 |
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.
|
 |
The Related Topics section is a
short collection of links to MDL related topics, such as information
theory, Bayesian statistics, and learning theory.
|
 |
If you have any comments on this site please do not hesitate to
give us Feedback.
|
|
|
|
|
News & Events
June 28-July 3, 2009.
Jorma Rissanen receives the 2009 Claude E. Shannon Award and gives
the Shannon Lecture at ISIT 2009.
»»»
IEEE IT Society Newsletter.
January 6-8, 2010.
IEEE Information Theory
Workshop, Cairo, Egypt.
June 13-18, 2010.
IEEE International Symposium
on Information Theory, Austin, Texas.
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.
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.
|
|
