skip to content
The minimum description length principle Preview this item
ClosePreview this item
Checking...

The minimum description length principle

Author: Peter D Grünwald
Publisher: Cambridge, Mass. : MIT Press, ©2007.
Series: Adaptive computation and machine learning.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
This introduction to the MDL Principle provides a reference accessible to graduate students and researchers in statistics, pattern classification, machine learning, and data mining, to philosophers interested in the foundations of statistics, and to researchers in other applied sciences that involve model selection.
Rating:

(not yet rated) 0 with reviews - Be the first.

Subjects
More like this

Find a copy online

Links to this item

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...

Details

Genre/Form: Online-Publikation
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Peter D Grünwald
ISBN: 0262072815 9780262072816
OCLC Number: 70292149
Description: xxxii, 703 pages : illustrations ; 24 cm
Contents: 1. Learning, regularity, and compression --
2. Probabilistic and statistical preliminaries --
3. Information-theoretic preliminaries --
4. Information-theoretic properties of statistical models --
5. Crude two-part code MDL --
6. Universal coding with countable models --
7. Parametric models : normalized maximum likelihood --
8. Parametric models : Bayes --
9. Parametric models : prequential plug-in --
10. Parametric models : two-part --
11. NML with infinite complexity --
12. Linear regression --
13. Beyond parametrics --
14. MDL model selection --
15. MDL prediction and estimation --
16. MDL consistency and convergence --
17. MDL in context --
18. The exponential or "maximum entropy" families --
19. Information-theoretic properties of exponential families.
Series Title: Adaptive computation and machine learning.
Responsibility: Peter D. Grünwald.

Abstract:

A comprehensive introduction and reference guide to the minimum description length (MDL) Principle that is useful for researchers dealing with inductive reference in diverse areas including  Read more...

Reviews

User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...

Tags

Be the first.
Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data


Primary Entity

<http://www.worldcat.org/oclc/70292149> # The minimum description length principle
    a schema:CreativeWork, schema:Book ;
    library:oclcnum "70292149" ;
    library:placeOfPublication <http://id.loc.gov/vocabulary/countries/mau> ;
    library:placeOfPublication <http://experiment.worldcat.org/entity/work/data/57498465#Place/cambridge_mass> ; # Cambridge, Mass.
    schema:about <http://experiment.worldcat.org/entity/work/data/57498465#Topic/modellen_theorie> ; # Modellen (theorie)
    schema:about <http://experiment.worldcat.org/entity/work/data/57498465#Topic/datakryptering> ; # Datakryptering
    schema:about <http://experiment.worldcat.org/entity/work/data/57498465#Topic/statistische_nachrichtentheorie> ; # Statistische Nachrichtentheorie
    schema:about <http://experiment.worldcat.org/entity/work/data/57498465#Topic/informationsteori> ; # Informationsteori
    schema:about <http://experiment.worldcat.org/entity/work/data/57498465#Topic/systemteori> ; # Systemteori
    schema:about <http://experiment.worldcat.org/entity/work/data/57498465#Topic/complexiteit> ; # Complexiteit
    schema:about <http://experiment.worldcat.org/entity/work/data/57498465#Topic/informatie> ; # Informatie
    schema:about <http://dewey.info/class/003.54/e22/> ;
    schema:about <http://experiment.worldcat.org/entity/work/data/57498465#Topic/statistiek> ; # Statistiek
    schema:about <http://id.worldcat.org/fast/1738001> ; # Minimum description length (Information theory)
    schema:about <http://experiment.worldcat.org/entity/work/data/57498465#Topic/statistische_schlussweise> ; # Statistische Schlussweise
    schema:about <http://experiment.worldcat.org/entity/work/data/57498465#Topic/kodteori> ; # Kodteori
    schema:bookFormat bgn:PrintBook ;
    schema:copyrightYear "2007" ;
    schema:creator <http://viaf.org/viaf/36302608> ; # Peter D. Grünwald
    schema:datePublished "2007" ;
    schema:description "1. Learning, regularity, and compression -- 2. Probabilistic and statistical preliminaries -- 3. Information-theoretic preliminaries -- 4. Information-theoretic properties of statistical models -- 5. Crude two-part code MDL -- 6. Universal coding with countable models -- 7. Parametric models : normalized maximum likelihood -- 8. Parametric models : Bayes -- 9. Parametric models : prequential plug-in -- 10. Parametric models : two-part -- 11. NML with infinite complexity -- 12. Linear regression -- 13. Beyond parametrics -- 14. MDL model selection -- 15. MDL prediction and estimation -- 16. MDL consistency and convergence -- 17. MDL in context -- 18. The exponential or "maximum entropy" families -- 19. Information-theoretic properties of exponential families."@en ;
    schema:description "This introduction to the MDL Principle provides a reference accessible to graduate students and researchers in statistics, pattern classification, machine learning, and data mining, to philosophers interested in the foundations of statistics, and to researchers in other applied sciences that involve model selection."@en ;
    schema:exampleOfWork <http://worldcat.org/entity/work/id/57498465> ;
    schema:genre "Online-Publikation"@en ;
    schema:inLanguage "en" ;
    schema:isPartOf <http://experiment.worldcat.org/entity/work/data/57498465#Series/adaptive_computation_and_machine_learning> ; # Adaptive computation and machine learning.
    schema:name "The minimum description length principle"@en ;
    schema:productID "70292149" ;
    schema:publication <http://www.worldcat.org/title/-/oclc/70292149#PublicationEvent/cambridge_mass_mit_press_2007> ;
    schema:publisher <http://experiment.worldcat.org/entity/work/data/57498465#Agent/mit_press> ; # MIT Press
    schema:url <http://ieeexplore.ieee.org/servlet/opac?bknumber=6267274> ;
    schema:workExample <http://worldcat.org/isbn/9780262072816> ;
    umbel:isLike <http://bnb.data.bl.uk/id/resource/GBA713854> ;
    umbel:isLike <http://bnb.data.bl.uk/id/resource/GBA732487> ;
    wdrs:describedby <http://www.worldcat.org/title/-/oclc/70292149> ;
    .


Related Entities

<http://experiment.worldcat.org/entity/work/data/57498465#Place/cambridge_mass> # Cambridge, Mass.
    a schema:Place ;
    schema:name "Cambridge, Mass." ;
    .

<http://experiment.worldcat.org/entity/work/data/57498465#Series/adaptive_computation_and_machine_learning> # Adaptive computation and machine learning.
    a bgn:PublicationSeries ;
    schema:hasPart <http://www.worldcat.org/oclc/70292149> ; # The minimum description length principle
    schema:name "Adaptive computation and machine learning." ;
    schema:name "Adaptive computation and machine learning" ;
    .

<http://experiment.worldcat.org/entity/work/data/57498465#Topic/informationsteori> # Informationsteori
    a schema:Intangible ;
    schema:name "Informationsteori"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/57498465#Topic/modellen_theorie> # Modellen (theorie)
    a schema:Intangible ;
    schema:name "Modellen (theorie)"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/57498465#Topic/statistische_nachrichtentheorie> # Statistische Nachrichtentheorie
    a schema:Intangible ;
    schema:name "Statistische Nachrichtentheorie"@en ;
    .

<http://experiment.worldcat.org/entity/work/data/57498465#Topic/statistische_schlussweise> # Statistische Schlussweise
    a schema:Intangible ;
    schema:name "Statistische Schlussweise"@en ;
    .

<http://id.worldcat.org/fast/1738001> # Minimum description length (Information theory)
    a schema:Intangible ;
    schema:name "Minimum description length (Information theory)"@en ;
    .

<http://ieeexplore.ieee.org/servlet/opac?bknumber=6267274>
    rdfs:comment "Full text available from IEEE CISnet" ;
    rdfs:comment "Rutgers restricted" ;
    .

<http://viaf.org/viaf/36302608> # Peter D. Grünwald
    a schema:Person ;
    schema:familyName "Grünwald" ;
    schema:givenName "Peter D." ;
    schema:name "Peter D. Grünwald" ;
    .

<http://worldcat.org/isbn/9780262072816>
    a schema:ProductModel ;
    schema:isbn "0262072815" ;
    schema:isbn "9780262072816" ;
    .


Content-negotiable representations

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.