ENGLISH

Phase Transitions in Machine Learning

By Antoine Cornuéjols , Lorenza Saitta , Attilio Giordana

Book information

Publisher
Cambridge University Press
Year
2011
ISBN
0521763916, 9780521763912
LCC
Q324.4 .S25 2011
Open Library ID
OL25060729M
Language
english
Format
PDF
Filesize
4 MB (4469817 bytes)
Edition
1
Pages
401\401
Library
0day
Time added
2011-09-11 16:07:43

Description

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.

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