Graphical Models: Representations for Learning, Reasoning and Data Mining: 704 (Wiley Series in Computational Statistics) - Hardcover

Borgelt, Christian; Steinbrecher, Matthias; Kruse, Rudolf R.

Hardcover

ISBN 10: 047072210X ISBN 13: 9780470722107

Verlag: John Wiley & Sons Inc, 2009

Inhaltsangabe

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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Críticas

"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." ( Zentralblatt Math , 1 August 2013) "All of the necessary background is provided, with material on modeling under uncertainty and imprecision modeling, decomposition of distributions, graphical representation of distributions, applications relating to graphical models, and problems for further research." ( Book News , December 2009)

Details zur Ausgabe

• Verlag: John Wiley & Sons Inc
• Erscheinungsdatum: 2009
• ISBN 10: 047072210X
• ISBN 13: 9780470722107
• Einband: Tapa dura
• Sprache: Englisch
• Auflage: 2
• Anzahl der Seiten: 404