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Phase transitions in machine learning /

Cornuejols, Antoine.

Phase transitions in machine learning /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Phase transitions in machine learning /Lorenza Saitta, Attilio Giordana, Antoine Cornuéjols.
Author:	Saitta, L.
other author:	Cornuejols, Antoine.
Published:	Cambridge ;Cambridge University Press,2011.
Description:	xv, 383 p. :ill. ;26 cm.
Subject:	Machine learning.
ISBN:	9780521763912 :

Phase transitions in machine learning /
Saitta, L.1944-

Phase transitions in machine learning /Lorenza Saitta, Attilio Giordana, Antoine Cornuéjols. - Cambridge ;Cambridge University Press,2011. - xv, 383 p. :ill. ;26 cm.

Includes bibliographical references (p. 355-374) and index.

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.

"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"--

ISBN: 9780521763912 :GBP$72.99

LCCN: 2011015141

Nat. Bib. Agency Control No.: 015706007UkSubjects--Topical Terms:

188639
Machine learning.

LC Class. No.: Q324.4 / .S25 2011

Dewey Class. No.: 006.3/1

Phase transitions in machine learning /
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005 20161007120529.0
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010 $a 2011015141
016 7 $a 015706007 $2 Uk
019 7 0 $a cam a2200241 a 450
020 $a 9780521763912 : $c GBP$72.99
035 $a (OCoLC)ocn699759823
035 $a 16735389
040 $a DLC $c DLC $d YDX $d BTCTA $d YDXCP $d CDX $d UKMGB $d MIX $d DLC
042 $a pcc
050 0 0 $a Q324.4 $b .S25 2011
082 0 0 $a 006.3/1 $2 23
084 $a COM016000 $2 bisacsh
100 1 $a Saitta, L. $q (Lorenza), $d 1944- $3 857959
245 1 0 $a Phase transitions in machine learning / $c Lorenza Saitta, Attilio Giordana, Antoine Cornuéjols.
260 $a Cambridge ; $a New York : $b Cambridge University Press, $c 2011.
300 $a xv, 383 p. : $b ill. ; $c 26 cm.
504 $a Includes bibliographical references (p. 355-374) and index.
505 8 $a 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.
520 $a "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"-- $c Provided by publisher.
650 0 $a Machine learning. $3 188639
650 0 $a Phase transformations (Statistical physics) $3 225556
700 1 $a Cornuejols, Antoine. $3 857960
700 1 $a Giordana, Attilio. $3 857961