Advances in Minimum Description Length: Theory and Applications

by In Jae Myung, Peter D. Grünwald, Mark A. Pitt

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The process of inductive inference -- to infer general laws and principles from particular instances -- is the basis of statistical modeling, pattern recognition, and machine learning. The Minimum Descriptive Length (MDL) principle, a powerful method of inductive inference, holds that the best explanation, given a limited set of observed data, is the one that permits the greatest compression of the data -- that the more we are able to compress the...

Format:Hardcover

Language:English

ISBN:0262072629

ISBN13:9780262072625

Release Date:January 2005

Publisher:Bradford Book

Length:372 Pages

Weight:2.45 lbs.

Dimensions:1.1" x 8.3" x 10.4"

Age Range:18 years and up

Grade Range:Postsecondary and higher

Related Subjects

Math Mathematics Science & Math

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Advances in Minimum Description Length: Theory and Applications

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