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https://www.riss.kr/link?id=M12599803
Cambridge ; New York : Cambridge University Press, c2011
2011
영어
006.3/1 판사항(23)
9780521763912 (hardback)
0521763916 (hardback)
일반단행본
England
Phase transitions in machine learning / Lorenza Saitta, Attilio Giordana, Antoine Cornuéjols.
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.
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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 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 tack...