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

by Christian Borgelt, Matthias Steinbrecher, Rudolf R. Kruse

Mathematics Computer Science statistics Data Mining
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Graphical Models explores representations for learning, reasoning, and data mining. Written by Christian Borgelt, Matthias Steinbrecher, and Rudolf R. Kruse, this volume places graphical models within computational statistics and offers a focused resource for readers interested in the connections between statistical methods, data analysis, and intelligent reasoning.

About This Book

Graphical Models examines representations used for learning, reasoning, and data mining.

The book presents its subject within the context of computational statistics.

It is authored by Christian Borgelt, Matthias Steinbrecher, and Rudolf R. Kruse.

This volume is part of the Wiley Series in Computational Statistics.

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I will be using this book for: