| Description |
1 online resource (viii, 393 pages) : illustrations |
| Series |
Wiley series in computational statistics |
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Wiley series in computational statistics.
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| Contents |
Graphical Models; Contents; Preface; 1 Introduction; 2 Imprecision and Uncertainty; 3 Decomposition; 4 Graphical Representation; 5 Computing Projections; 6 Naive Classifiers; 7 Learning Global Structure; 8 Learning Local Structure; 9 Inductive Causation; 10 Visualization; 11 Applications; A Proofs of Theorems; B Software Tools; Bibliography; Index |
| Summary |
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 |
| Notes |
Previous ed.: New York; Chichester: Wiley, 2001 |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Online version of the print title |
|
Mode of access: World Wide Web |
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System requirements: Internet connectivity, World Wide Web browser, and Adobe Acrobat reader |
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Print version record |
| Subject |
Biometric identification -- Congresses.
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Data mining.
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Graphical modeling (Statistics)
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Human locomotion -- Computer simulation -- Congresses.
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Kinesiology -- Congresses.
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Mathematical statistics -- Graphic methods.
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Multimedia systems -- Congresses.
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Optical pattern recognition -- Congresses.
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| Genre/Form |
Dictionaries.
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Conference papers and proceedings.
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| Author |
Kruse, Rudolf, author
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Steinbrecher, Matthias, author
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Wiley InterScience (Online service)
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| LC no. |
2009028756 |
| ISBN |
047072210X (cloth) |
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0470749563 (electronic bk.) |
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9780470722107 (cloth) |
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9780470749562 (electronic bk.) |
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