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Graphical models : representations for learning, reasoning and data mining /

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 in...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Borgelt, Christian (Autor), Steinbrecher, Matthias (Autor), Kruse, Rudolf (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Chichester, West Sussex, United Kingdom : John Wiley, 2009.
Edición:Second edition.
Colección:Wiley series in computational statistics.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario: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 distributi.
Descripción Física:1 online resource (viii, 393 pages) : illustrations
Bibliografía:Includes bibliographical references and index.
ISBN:9780470749562
0470749563
9780470749555
0470749555
047072210X
9780470722107