Graphical Models

Representations for Learning, Reasoning and Data Mining

Christian Borgelt, Rudolf R. Kruse, Matthias Steinbrecher

Wiley
Collection: Wiley Series in Computational Statistics
Publication date : 2009-07-30

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Graphical models are of increasing importance in applied statistics, and in particular in data mining. Providing a self-contained introduction and overview to learning relational, probabilistic, and possibilistic networks from data, this second edition of Graphical Models is thoroughly updated to include the latest research in this burgeoning field, including a new chapter on visualization. The text provides graduate students, and researchers with all the necessary background material, including modelling under uncertainty, decomposition of distributions, graphical representation of distributions, and applications relating to graphical models and problems for further research.

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About the book

Author

Christian Borgelt , Rudolf R. Kruse , Matthias Steinbrecher

Imprint

Wiley

Collection

Wiley Series in Computational Statistics

Publication date

2009-07-30

Pages

404 pages

Print ISBN

9780470722107

Language

English

Ebook informations

EAN PDF

9780470749562

Price

£103.34

Copy count 0

Print count 404

File size 2847 Ko

Informations accessibility

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About author(s)

Christian Borgelt

Rudolf R. Kruse

Matthias Steinbrecher

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