Phase transitions in machine learning / Lorenza Saitta, Attilio Giordana, Antoine Cornuéjols.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- text
- computer
- online resource
- 9781139092869
- 1139092863
- 9781139090957
- 113909095X
- 9780511975509
- 0511975503
- 1107217156
- 9781107217157
- 1283127385
- 9781283127387
- 1139092359
- 9781139092357
- 9786613127389
- 6613127388
- 1139091840
- 9781139091848
- 1139090046
- 9781139090049
- 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
- Phase transformations (Statistical physics)
- Maschinelles Lernen
- Phasenumwandlung
- 006.3/1 23
- Q324.4 .S25 2011eb
- COM016000
- ST 302
Item type | Home library | Collection | Call number | Materials specified | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
![]() |
OPJGU Sonepat- Campus | E-Books EBSCO | Available |
"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"-- Provided by publisher
Includes bibliographical references and index.
Print version record.
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.
English.
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - Worldwide
There are no comments on this title.