Items related to Graphical Models: Methods for Data Analysis and Mining
Synopsis
The concept of modelling using graph theory has its origin in several scientific areas, notably statistics, physics, genetics, and engineering. The use of graphical models in applied statistics has increased considerably over recent years and the theory has been greatly developed and extended. This book provides a self-contained introduction to the learning of graphical models from data, and is the first to include detailed coverage of possibilistic networks -...
About the Author
Christian Borgelt, is the Principal researcher at the European Centre for Soft Computing at Otto-von-Guericke University of Magdeburg.
Rudolf Kruse is Professor for Computer Science at Otto-von-Guericke University of Magdeburg.
From the Back Cover
The use of graphical models in applied statistics has increased considerably over recent years and the theory has been greatly developed and extended. This book provides a self-contained introduction to the learning of graphical models from data, and includes detailed coverage of possibilistic networks - a tool that allows the user to infer results from problems with imprecise data.
One of the most important applications...
From the Inside Flap
The use of graphical models in applied statistics has increased considerably over recent years and the theory has been greatly developed and extended. This book provides a self-contained introduction to the learning of graphical models from data, and includes detailed coverage of possibilistic networks - a tool that allows the user to infer results from problems with imprecise data.
One of the most important applications...
"About this title" may belong to another edition of this title.
- PublisherWiley
- Publication date2002
- ISBN 10 0470843373
- ISBN 13 9780470843376
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages368
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Graphical Models - Methods for Data Analysis & Mining
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John Wiley and Sons Ltd, 2002
ISBN 10: 0470843373
ISBN 13: 9780470843376
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