Advances In Minimum Description Length: Theory And Applications - Rilegato

Rilegato

ISBN 10: 0262072629 ISBN 13: 9780262072625

Casa editrice: Bradford Books, 2005

Riassunto

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.

Su questo libro

Informazioni sull?autore

Peter D. Grünwald 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.

Dettagli dell?edizione

• Editore: Bradford Books
• Data di pubblicazione: 2005
• ISBN 10: 0262072629
• ISBN 13: 9780262072625
• Rilegatura: Copertina rigida
• Lingua: Inglese
• Numero di pagine: 372
• Redattore: Grunwald Peter D., Myung In Jae, Pitt Mark A.
• Contatto del produttore: non disponibile