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...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge, Mass. :
MIT Press,
©2005.
|
| Schriftenreihe: | Neural information processing series.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | 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. |
| Beschreibung: | 1 online resource (x, 444 pages) : illustrations |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9780262274463 0262274469 1423729447 9781423729440 |
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| indexdate | 2024-11-27T13:15:47Z |
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| series | Neural information processing series. |
| series2 | Neural information processing series |
| spelling | Advances in minimum description length : theory and applications / edited by Peter D. Grünwald, In Jae Myung, Mark A. Pitt. Cambridge, Mass. : MIT Press, ©2005. 1 online resource (x, 444 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier text file rdaft Neural information processing series Includes bibliographical references and index. Print version record. 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. Minimum description length (Information theory) http://id.loc.gov/authorities/subjects/sh2005005359 Mathematical statistics. http://id.loc.gov/authorities/subjects/sh85082133 Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Information theory. http://id.loc.gov/authorities/subjects/sh85066289 Information Theory https://id.nlm.nih.gov/mesh/D007257 Machine Learning https://id.nlm.nih.gov/mesh/D000069550 Longueur de description minimale (Théorie de l'information) Apprentissage automatique. Théorie de l'information. MATHEMATICS Probability & Statistics General. bisacsh Information theory fast Machine learning fast Mathematical statistics fast Minimum description length (Information theory) fast COMPUTER SCIENCE/Machine Learning & Neural Networks Grünwald, Peter D., editor. http://id.loc.gov/authorities/names/n2004009414 Myung, Jay, editor. http://id.loc.gov/authorities/names/n2004009415 Pitt, Mark A., editor. http://id.loc.gov/authorities/names/n2004009416 has work: Advances in minimum description length (Text) https://id.oclc.org/worldcat/entity/E39PCGK4qrpGgfdvDF8vmRk79C https://id.oclc.org/worldcat/ontology/hasWork Print version: Advances in minimum description length. Cambridge, Mass. : MIT Press, ©2005 0262072629 (DLC) 2004055932 (OCoLC)55960955 Neural information processing series. http://id.loc.gov/authorities/names/n00009051 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=138470 Volltext |
| spellingShingle | Advances in minimum description length : theory and applications / Neural information processing series. Minimum description length (Information theory) http://id.loc.gov/authorities/subjects/sh2005005359 Mathematical statistics. http://id.loc.gov/authorities/subjects/sh85082133 Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Information theory. http://id.loc.gov/authorities/subjects/sh85066289 Information Theory https://id.nlm.nih.gov/mesh/D007257 Machine Learning https://id.nlm.nih.gov/mesh/D000069550 Longueur de description minimale (Théorie de l'information) Apprentissage automatique. Théorie de l'information. MATHEMATICS Probability & Statistics General. bisacsh Information theory fast Machine learning fast Mathematical statistics fast Minimum description length (Information theory) fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh2005005359 http://id.loc.gov/authorities/subjects/sh85082133 http://id.loc.gov/authorities/subjects/sh85079324 http://id.loc.gov/authorities/subjects/sh85066289 https://id.nlm.nih.gov/mesh/D007257 https://id.nlm.nih.gov/mesh/D000069550 |
| title | Advances in minimum description length : theory and applications / |
| title_auth | Advances in minimum description length : theory and applications / |
| title_exact_search | Advances in minimum description length : theory and applications / |
| title_full | Advances in minimum description length : theory and applications / edited by Peter D. Grünwald, In Jae Myung, Mark A. Pitt. |
| title_fullStr | Advances in minimum description length : theory and applications / edited by Peter D. Grünwald, In Jae Myung, Mark A. Pitt. |
| title_full_unstemmed | Advances in minimum description length : theory and applications / edited by Peter D. Grünwald, In Jae Myung, Mark A. Pitt. |
| title_short | Advances in minimum description length : |
| title_sort | advances in minimum description length theory and applications |
| title_sub | theory and applications / |
| topic | Minimum description length (Information theory) http://id.loc.gov/authorities/subjects/sh2005005359 Mathematical statistics. http://id.loc.gov/authorities/subjects/sh85082133 Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Information theory. http://id.loc.gov/authorities/subjects/sh85066289 Information Theory https://id.nlm.nih.gov/mesh/D007257 Machine Learning https://id.nlm.nih.gov/mesh/D000069550 Longueur de description minimale (Théorie de l'information) Apprentissage automatique. Théorie de l'information. MATHEMATICS Probability & Statistics General. bisacsh Information theory fast Machine learning fast Mathematical statistics fast Minimum description length (Information theory) fast |
| topic_facet | Minimum description length (Information theory) Mathematical statistics. Machine learning. Information theory. Information Theory Machine Learning Longueur de description minimale (Théorie de l'information) Apprentissage automatique. Théorie de l'information. MATHEMATICS Probability & Statistics General. Information theory Machine learning Mathematical statistics |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=138470 |
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