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Phase transitions in machine learning (notice n° 15646)

000 -LEADER
fixed length control field	02102cam a2200289' 4500
001 - CONTROL NUMBER
control field	UNI0000563
005 - DATE AND TIME OF LATEST TRANSACTION
control field	20161124100403.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field	140919s2011 uk a b 001 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number	9780521763912 (hardback)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number	0521763916 (hardback)
040 ## - CATALOGING SOURCE
Modifying agency	IMIST
Description conventions	rda
040 ## - CATALOGING SOURCE
Original cataloging agency	DLC
Description conventions	rda
041 1# - LANGUAGE CODE
Language code of text/sound track or separate title	eng
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number	Q324.4
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number	006.31
Edition number	22
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name	Saitta, L.
Titles and other words associated with a name	1944-
Fuller form of name	((Lorenza),)
245 10 - TITLE STATEMENT
Title	Phase transitions in machine learning
Statement of responsibility, etc	Lorenza Saitta, Attilio Giordana, Antoine Cornuéjols.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc	Cambridge
--	New York
Name of publisher, distributor, etc	Cambridge University Press
Date of publication, distribution, etc	2011.
300 ## - PHYSICAL DESCRIPTION
Extent	xv, 383 pages
Other physical details	illustrations
Dimensions	26 cm.
500 ## - GENERAL NOTE
General note	"Phase transitions typically occur in combinatorial computational problems and have important consequences, especially with the current spread of statistical relational learning and 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"--
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc	Includes bibliographical references (p. 355-374) and index.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note	Machine generated contents note: Preface; Acknowledgements; 1. Introduction; 2. Statistical physics and phase transitions; 3. The satisfiability problem; 4. Constraint satisfaction problems; 5. Machine learning; 6. Searching the hypothesis space; 7. Statistical physics and machine learning; 8. Learning, SAT, and CSP; 9. Phase transition in FOL covering test; 10. Phase transitions and relational learning; 11. Phase transitions in grammatical inference; 12. Relationships with complex systems; 13. Phase transitions in natural systems; 14. Discussions and open issues; Appendix A. Phase transitions detected in two real cases; Appendix B. An intriguing idea; References; Index.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element	Machine learning
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element	Phase transformations (Statistical physics)
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name	Giordana, Attilio.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name	Cornuejols, Antoine.

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Phase transitions in machine learning (notice n° 15646)