Graphical models: Representations for learning, reasoning and data mining

✍ Scribed by Christian Borgelt, Matthias Steinbrecher, Professor Dr Rudolf R Kruse

Publisher: Wiley
Year: 2009
Tongue: English
Leaves: 397
Series: Wiley Series in Computational Statistics
Edition: 2ed.
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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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