Phase transitions in machine learning /

"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 d...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Saitta, Lorenza, 1944-
Otros Autores: Giordana, Attilio, Cornuejols, Antoine
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge ; New York : Cambridge University Press, 2011.
Temas:
Machine learning.
Phase transformations (Statistical physics)
Apprentissage automatique.
Transitions de phase.
COMPUTERS > Computer Vision & Pattern Recognition.
COMPUTERS > Enterprise Applications > Business Intelligence Tools.
COMPUTERS > Intelligence (AI) & Semantics.
Machine learning
Maschinelles Lernen
Phasenumwandlung
Acceso en línea:Texto completo

MARC

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100 1 |a Saitta, Lorenza,  |d 1944- 
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 1 online resource (xv, 383 pages) :  |b illustrations (some color) 
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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 
504 |a Includes bibliographical references and index. 
588 0 |a Print version record. 
505 0 0 |g Preface; Acknowledgements; 1. Introduction; 2.  |t Statistical physics and phase transitions;  |g 3.  |t The satisfiability problem;  |g 4.  |t Constraint satisfaction problems;  |g 5.  |t Machine learning;  |g 6.  |t Searching the hypothesis space;  |g 7.  |t Statistical physics and machine learning;  |g 8.  |t Learning, SAT, and CSP;  |g 9.  |t Phase transition in FOL covering test;  |g 10.  |t Phase transitions and relational learning;  |g 11.  |t Phase transitions in grammatical inference;  |g 12.  |t Relationships with complex systems;  |g 13.  |t Phase transitions in natural systems;  |g 14.  |t Discussions and open issues;  |g Appendix A.  |t Phase transitions detected in two real cases;  |g Appendix B.  |t An intriguing idea;  |g References; Index. 
546 |a English. 
590 |a eBooks on EBSCOhost  |b EBSCO eBook Subscription Academic Collection - Worldwide 
650 0 |a Machine learning. 
650 0 |a Phase transformations (Statistical physics) 
650 6 |a Apprentissage automatique. 
650 6 |a Transitions de phase. 
650 7 |a COMPUTERS  |x Computer Vision & Pattern Recognition.  |2 bisacsh 
650 7 |a COMPUTERS  |x Enterprise Applications  |x Business Intelligence Tools.  |2 bisacsh 
650 7 |a COMPUTERS  |x Intelligence (AI) & Semantics.  |2 bisacsh 
650 7 |a Machine learning  |2 fast 
650 7 |a Phase transformations (Statistical physics)  |2 fast 
650 7 |a Maschinelles Lernen  |2 gnd 
650 7 |a Phasenumwandlung  |2 gnd 
700 1 |a Giordana, Attilio. 
700 1 |a Cornuejols, Antoine. 
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