EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link: https://ebookbell.com/faq

We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.

For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Advances In Minimum Description Length Theory And Applications Peter D Grnwald

Name: Advances In Minimum Description Length Theory And Applications Peter D Grnwald
SKU: BELL-50734676
Price: 31.00 USD
Availability: InStock
Rating: 5 (48 reviews)

SKU: BELL-50734676

$ 31.00 ~~$ 45.00~~ (-31%)

5.0

48 reviews

Advances In Minimum Description Length Theory And Applications Peter D Grnwald instant download after payment.

Publisher: MIT Press

File Extension: PDF

File size: 4.55 MB

Pages: 372

Author: Peter D. Grünwald, In Jae Myung, Mark A. Pitt

ISBN: 9780262072625, 0262072629

Language: English

Year: 2005

Product desciption

Advances In Minimum Description Length Theory And Applications Peter D Grnwald by Peter D. Grünwald, In Jae Myung, Mark A. Pitt 9780262072625, 0262072629 instant download after payment.

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.