Entry Topical Term

Number of records used in: 1

001 - CONTROL NUMBER

• control field: 39829

003 - CONTROL NUMBER IDENTIFIER

• control field: TR-AnTOB

005 - DATE AND TIME OF LATEST TRANSACTION

• control field: 20200607145221.0

008 - FIXED-LENGTH DATA ELEMENTS

• fixed length control field: 050816|| azannbabn |a ana

010 ## - LIBRARY OF CONGRESS CONTROL NUMBER

• LC control number: sh2005005359

035 ## - SYSTEM CONTROL NUMBER

• System control number: (TR-AnTOB)39829

040 ## - CATALOGING SOURCE

• Original cataloging agency: DLC
• Language of cataloging: eng
• Transcribing agency: DLC
• Modifying agency: TR-AnTOB

053 #0 - LC CLASSIFICATION NUMBER

• Classification number element--single number or beginning number of span: QA276.9
• Explanatory term: Mathematical statistics

150 ## - HEADING--TOPICAL TERM

• Topical term or geographic name entry element: Minimum description length (Information theory)

450 ## - SEE FROM TRACING--TOPICAL TERM

• Topical term or geographic name entry element: Description length, Minimum (Information theory)

450 ## - SEE FROM TRACING--TOPICAL TERM

• Topical term or geographic name entry element: Length, Minimum description (Information theory)

450 ## - SEE FROM TRACING--TOPICAL TERM

• Topical term or geographic name entry element: MDL (Information theory)

450 ## - SEE FROM TRACING--TOPICAL TERM

• Topical term or geographic name entry element: Minimum açıklama uzunluğu (Bilgi teorisi)

450 ## - SEE FROM TRACING--TOPICAL TERM

• Topical term or geographic name entry element: Minimum tanımlama uzunluğu (Bilgi teorisi)

450 ## - SEE FROM TRACING--TOPICAL TERM

• Topical term or geographic name entry element: Minimum tanımlama uzunluğu (Enformasyon teorisi)

450 ## - SEE FROM TRACING--TOPICAL TERM

• Topical term or geographic name entry element: Asgari açıklama uzunluğu (Bilgi teorisi)

550 ## - SEE ALSO FROM TRACING--TOPICAL TERM

• Control subfield: g
• Topical term or geographic name entry element: Information theory

670 ## - SOURCE DATA FOUND

• Source citation: Work cat.: 2004055932: Advances in minimum description length, 2005:
• Information found: p. 3 ("The minimum description length (MDL) principle is a relative recent method for inductive inference that provides a generic solution to the model selection problem. MDL is based on the following insight: any regularity in the data can be used to compress that data, that is, to describe it using fewer symbols than the number of symbols needed to describe the data literally. The more regularities there are, the more the data can be compressed.") p. 66 ("MDL shares some ideas with the minimum message length (MML) principle which predates MDL by ten years... Just as in MDL, MML chooses the hypothesis minimizing the code length of the data. But the codes that are used are quite different from those in MDL. First of all, in MML one always uses two-part codes, so that MML automatically selects both a model family and parameter values.")

670 ## - SOURCE DATA FOUND

• Source citation: Wikipedia, Aug. 16, 2005
• Information found: (minimum description length: "a formalization of Occam's Razor in which the best hypothesis for a given set of data is the one that leads to the largest compression of the data. MDL is important in information theory and learning theory... MDL was not the first attempt to do hypothesis selection through minimizing description length; as early as 1968 Wallace and Boulton pioneered a related concept called Minimum Message Length (MML). MDL was introduced by Jorma Rissanen in 1978; it differs from MML in several ways, most notably (at least in most of J. Rissanen's early MLD papers) in its extensive use of one-part rather than two-part codes.")

688 ## - APPLICATION HISTORY NOTE

• Institution to which field applies: TR-AnTOB
• Application history note: Op 07.06.2020

750 ## - ESTABLISHED HEADING LINKING ENTRY--TOPICAL TERM

• Authority record control number or standard number: https://lccn.loc.gov/sh2005005359
• Source of heading or term: lcsh