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Welcome to MDL on the Web
Feshschrift in Honor of Jorma Rissanen
on the Occasion of his 75th Birthday
P. Grünwald, P. Myllymäki, I. Tabus, M.
Weinberger, & B. Yu (Eds.)
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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?
Minimum Description Length on the Web 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.
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The Reading section contains references
to selected papers, books, lecture material, etc., and links to journals
and conferences. |
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The Demonstrations section
illustrates MDL through on-line demonstrations, and provides links to
software on the web.
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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.
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The Related Topics section is a
short collection of links to MDL related topics, such as information
theory, Bayesian statistics, and learning theory.
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If you have any comments on this site please do not hesitate to
give us Feedback.
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News & Events
February 3, 2006. Jorma
Rissanen receives the Kolmogorov medal and gives the 4th Annual
Kolmogorov Lecture at Royal
Holloway, Univ. London. »»»
slides
January 10-13, 2007. Conference on Logic,
Computability and Randomness, Buenos Aires, Argentina.
January 26, 2007.
A book by Jorma Rissanen has appeared. See the
Reading section.
January 29-February 2, 2007. 2007 Information
Theory and Applications (ITA) Workshop, San Diego, California.
March 1, 2007. EURASIP JBSB
Special Issue on Information Theoretic Methods for
Bioinformatics,
submission deadline.
June, 2007.
A book by Peter Grünwald appears. See the
Reading section for a sample chapter.
June 24-29, 2007.
IEEE International Symposium
on Information Theory, Nice, France.
January 27-February 1, 2008.
2008 Information
Theory and Applications Workshop, San Diego, USA.
May 5-9, 2008.
IEEE Information Theory
Workshop, Porto, Portugal.
July 6-11, 2008.
IEEE International Symposium on
Information Theory, Toronto, Canada.
July 9-12, 2008. Three major
conferences,
UAI,
ICML,
and COLT, in
Helsinki, Finland.
July 9, 2008. ICML/UAI/COLT Workshop:
Recent Breakthroughts
in MDL Learning, Helsinki, Finland.
July 14-15, 2008.
Information Theory and Statistical Learning, Las Vegas, Nevada.
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