The minimum description length principle / Peter D. Grünwald.

A comprehensive introduction and reference guide to the minimum description length (MDL) Principle that is accessible to researchers dealing with inductive reference in diverse areas including statistics, pattern classification, machine learning, data min.

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Bibliographic Details
Main Author: Grünwald, Peter D.
Format: eBook
Language:English
Published: Cambridge, Mass. : MIT Press, ©2007.
Series:Adaptive computation and machine learning.
Subjects:
Online Access:Click for online access
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Description
Summary:A comprehensive introduction and reference guide to the minimum description length (MDL) Principle that is accessible to researchers dealing with inductive reference in diverse areas including statistics, pattern classification, machine learning, data min.
Physical Description:1 online resource (xxxii, 703 pages) : illustrations
Bibliography:Includes bibliographical references (pages 651-673) and indexes.
ISBN:9780262256292
0262256290
1282096354
9781282096356
9781429465601
1429465603
DOI:10.7551/mitpress/4643.001.0001
Source of Description, Etc. Note:Print version record.