Phase Transitions in Machine Learning, Cornuéjols, Antoine, Giordana, Attilio

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Caspian Outlet

Phase transitions typically occur in combinatorial computational problems and have important consequences, especially with the current spread of statistical relational learning as well as sequence learning methodologies. In Phase Transitions in Machine Learning the authors begin by describing in detail this phenomenon, and the extensive experimental investigation that supports its presence. They then turn their attention to the possible implications and explore appropriate methods for tackling them. Weaving together fundamental aspects of computer science, statistical physics and machine learning, the book provides sufficient mathematics and physics background to make the subject intelligible to researchers in AI and other computer science communities. Open research issues are also discussed, suggesting promising directions for future research.

Review
“… it is still an open question whether this will be one of the basic tools for understanding machine learning problems and methods in the future. Naturally, this book is an essential source for researchers who want to find answers to these questions.”
Joe Hernandez-Orallo, Computing Reviews
Book Description
This state-of-the-art overview of the field describes how phase transitions occur and teaches appropriate methods for tackling the consequent problems.
Book Description
This state-of-the-art overview describes how phase transitions occur and teaches appropriate methods for tackling the consequent problems. Weaving together fundamental aspects of computer science, statistical physics and machine learning, it provides sufficient mathematics and physics background to make the subject intelligible to researchers in AI and other computer science communities.
About the Author
Antoine Cornuéjols is Full Professor of Computer Science at the AgroParisTech Engineering School in Paris.

Attilio Giordana is Full Professor of Computer Science at the University of Piemonte Orientale in Italy.

Lorenza Saitta is a Full Professor of Computer Science at the University of Piemonte Orientale in Italy.

Product Key Features
Format Hardcover
Subject Computer Science
Publication Year 2011
Number of Pages 410 Pages

Dimensions
Item Height 254mm
Item Width 195mm
Item Weight 1100g

Additional Product Features
Book Title Phase Transitions in Machine Learning
Author Lorenza Saitta, Antoine Cornuejols, Attilio Giordana
Country/Region of Manufacture United Kingdom

Category:

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