Handbook Of Graphical Models Chapman Hall Crc Handbooks Of Modern Statistical Methods

Graphical models are a powerful tool for modeling and inference in complex systems. They provide a graphical representation of the relationships between variables, making it possible to visualize and understand the structure of the system. Graphical models have been used successfully in a wide variety of applications, including machine learning, computer vision, natural language processing, and bioinformatics.

The Handbook of Graphical Models is a comprehensive overview of the field, covering the theory, methods and applications of graphical models. It presents a unified treatment of graphical models across disciplines, making it a valuable resource for researchers and practitioners in a wide variety of fields.

The Handbook of Graphical Models is divided into three parts. The first part provides an to graphical models, covering the basic concepts and notation. The second part discusses the different types of graphical models, including Bayesian networks, Markov random fields, and conditional independence graphs. The third part presents a variety of applications of graphical models, including machine learning, computer vision, natural language processing, and bioinformatics.

Handbook of Graphical Models (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)

by DK

5 out of 5

Language	:	English
File size	:	44361 KB
Print length	:	556 pages
Paperback	:	29 pages
Item Weight	:	2.08 ounces
Dimensions	:	6 x 0.08 x 9 inches
Screen Reader	:	Supported
X-Ray for textbooks	:	Enabled

FREE

The Handbook of Graphical Models is a unique resource that offers a number of key features:

• Comprehensive coverage: The handbook provides a comprehensive overview of the field of graphical models, covering the theory, methods and applications.
• Unified treatment: The handbook presents a unified treatment of graphical models across disciplines, making it a valuable resource for researchers and practitioners in a wide variety of fields.
• Clear and concise writing: The handbook is written in a clear and concise style, making it easy to understand for readers with a variety of backgrounds.
• Extensive references: The handbook includes an extensive list of references, making it a valuable resource for further research.

The Handbook of Graphical Models is a comprehensive and authoritative overview of the field of graphical models. It is a valuable resource for researchers and practitioners in a wide variety of fields, including machine learning, computer vision, natural language processing, and bioinformatics.

Handbook of Graphical Models (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)

by DK

5 out of 5

Language	:	English
File size	:	44361 KB
Print length	:	556 pages
Paperback	:	29 pages
Item Weight	:	2.08 ounces
Dimensions	:	6 x 0.08 x 9 inches
Screen Reader	:	Supported
X-Ray for textbooks	:	Enabled

FREE