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Advances in minimum description length : theory and applications /
A source book for state-of-the-art MDL, including an extensive tutorial and recent theoretical advances and practical applications in fields ranging from bioinformatics to psychology. The process of inductive inference--to infer general laws and principles from particular instances--is the basis of...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge, Mass. :
MIT Press,
©2005.
|
| Colección: | Neural information processing series.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 0 | |a Advances in minimum description length : |b theory and applications / |c edited by Peter D. Grünwald, In Jae Myung, Mark A. Pitt. |
| 260 | |a Cambridge, Mass. : |b MIT Press, |c ©2005. | ||
| 300 | |a 1 online resource (x, 444 pages) : |b illustrations | ||
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| 490 | 1 | |a Neural information processing series | |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 520 | |a A source book for state-of-the-art MDL, including an extensive tutorial and recent theoretical advances and practical applications in fields ranging from bioinformatics to psychology. 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 data, the more we learn about the regularities underlying the data. Advances in Minimum Description Length is a sourcebook that will introduce the scientific community to the foundations of MDL, recent theoretical advances, and practical applications. The book begins with an extensive tutorial on MDL, covering its theoretical underpinnings, practical implications as well as its various interpretations, and its underlying philosophy. The tutorial includes a brief history of MDL--from its roots in the notion of Kolmogorov complexity to the beginning of MDL proper. The book then presents recent theoretical advances, introducing modern MDL methods in a way that is accessible to readers from many different scientific fields. The book concludes with examples of how to apply MDL in research settings that range from bioinformatics and machine learning to psychology. | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Minimum description length (Information theory) | |
| 650 | 0 | |a Mathematical statistics. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Information theory. | |
| 650 | 2 | |a Information Theory | |
| 650 | 6 | |a Longueur de description minimale (Théorie de l'information) | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 6 | |a Théorie de l'information. | |
| 650 | 7 | |a MATHEMATICS |x Probability & Statistics |x General. |2 bisacsh | |
| 650 | 7 | |a Information theory. |2 fast |0 (OCoLC)fst00973149 | |
| 650 | 7 | |a Machine learning. |2 fast |0 (OCoLC)fst01004795 | |
| 650 | 7 | |a Mathematical statistics. |2 fast |0 (OCoLC)fst01012127 | |
| 650 | 7 | |a Minimum description length (Information theory) |2 fast |0 (OCoLC)fst01738001 | |
| 653 | |a COMPUTER SCIENCE/Machine Learning & Neural Networks | ||
| 700 | 1 | |a Grünwald, Peter D., |e editor. | |
| 700 | 1 | |a Myung, Jay, |e editor. | |
| 700 | 1 | |a Pitt, Mark A., |e editor. | |
| 776 | 0 | 8 | |i Print version: |t Advances in minimum description length. |d Cambridge, Mass. : MIT Press, ©2005 |z 0262072629 |w (DLC) 2004055932 |w (OCoLC)55960955 |
| 830 | 0 | |a Neural information processing series. | |
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