The Minimum Description Length Principle
$132.51
- Paperback
736 pages
- Release Date
23 March 2007
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 mining, biology, econometrics, and experimental psychology, as well as philosophers interested in the foundations of statistics.The minimum description length (MDL) principle is a powerful method of inductive inference, the basis of statistical …
Book Details
| ISBN-13: | 9780262529631 |
|---|---|
| ISBN-10: | 0262529637 |
| Author: | Peter D. Grünwald |
| Publisher: | MIT Press Ltd |
| Imprint: | MIT Press |
| Format: | Paperback |
| Number of Pages: | 736 |
| Release Date: | 23 March 2007 |
| Weight: | 1.15kg |
| Dimensions: | 233mm x 178mm x 38mm |
| Series: | Adaptive Computation and Machine Learning series |
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About The Author
Peter D. Grünwald
Peter D. Gr nwald is a researcher at CWI, the National Research Institute for Mathematics and Computer Science, Amsterdam, the Netherlands. He is also affiliated with EURANDOM, the European Research Institute for the Study of Stochastic Phenomena, Eindhoven, the Netherlands.
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