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...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Weitere Verfasser: | , |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge ; New York :
Cambridge University Press,
2011.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "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"-- |
| Beschreibung: | 1 online resource (xv, 383 pages) : illustrations (some color) |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781139092869 1139092863 9781139090957 113909095X 9780511975509 0511975503 1107217156 9781107217157 1283127385 9781283127387 1139092359 9781139092357 9786613127389 6613127388 1139091840 9781139091848 1139090046 9781139090049 |
Internformat
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| 100 | 1 | |a Saitta, Lorenza, |d 1944- |0 http://id.loc.gov/authorities/names/n87841721 | |
| 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. | ||
| 650 | 0 | |a Machine learning. |0 http://id.loc.gov/authorities/subjects/sh85079324 | |
| 650 | 0 | |a Phase transformations (Statistical physics) |0 http://id.loc.gov/authorities/subjects/sh85100646 | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 6 | |a Transitions de phase. | |
| 650 | 7 | |a COMPUTERS |x Computer Vision & Pattern Recognition. |2 bisacsh | |
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| 700 | 1 | |a Cornuejols, Antoine. | |
| 758 | |i has work: |a Phase transitions in machine learning (Text) |1 https://id.oclc.org/worldcat/entity/E39PCH6mhVRKxFWxtR7rcKYqpK |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
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Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-4-EBA-ocn738434088 |
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| _version_ | 1816881763698343936 |
| adam_text | |
| any_adam_object | |
| author | Saitta, Lorenza, 1944- |
| author2 | Giordana, Attilio Cornuejols, Antoine |
| author2_role | |
| author2_variant | a g ag a c ac |
| author_GND | http://id.loc.gov/authorities/names/n87841721 |
| author_facet | Saitta, Lorenza, 1944- Giordana, Attilio Cornuejols, Antoine |
| author_role | |
| author_sort | Saitta, Lorenza, 1944- |
| author_variant | l s ls |
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| bvnumber | localFWS |
| callnumber-first | Q - Science |
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| callnumber-raw | Q324.4 .S25 2011eb |
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| callnumber-subject | Q - General Science |
| classification_rvk | ST 302 |
| collection | ZDB-4-EBA |
| contents | Statistical physics and phase transitions; The satisfiability problem; Constraint satisfaction problems; Machine learning; Searching the hypothesis space; Statistical physics and machine learning; Learning, SAT, and CSP; Phase transition in FOL covering test; Phase transitions and relational learning; Phase transitions in grammatical inference; Relationships with complex systems; Phase transitions in natural systems; Discussions and open issues; Phase transitions detected in two real cases; An intriguing idea; |
| ctrlnum | (OCoLC)738434088 |
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| discipline | Informatik |
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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"--</subfield><subfield code="c">Provided by publisher</subfield></datafield><datafield tag="504" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index.</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Print version record.</subfield></datafield><datafield tag="505" ind1="0" ind2="0"><subfield code="g">Preface; Acknowledgements; 1. 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| id | ZDB-4-EBA-ocn738434088 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:17:53Z |
| institution | BVB |
| isbn | 9781139092869 1139092863 9781139090957 113909095X 9780511975509 0511975503 1107217156 9781107217157 1283127385 9781283127387 1139092359 9781139092357 9786613127389 6613127388 1139091840 9781139091848 1139090046 9781139090049 |
| language | English |
| oclc_num | 738434088 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (xv, 383 pages) : illustrations (some color) |
| psigel | ZDB-4-EBA |
| publishDate | 2011 |
| publishDateSearch | 2011 |
| publishDateSort | 2011 |
| publisher | Cambridge University Press, |
| record_format | marc |
| spelling | Saitta, Lorenza, 1944- http://id.loc.gov/authorities/names/n87841721 Phase transitions in machine learning / Lorenza Saitta, Attilio Giordana, Antoine Cornuéjols. Cambridge ; New York : Cambridge University Press, 2011. 1 online resource (xv, 383 pages) : illustrations (some color) text txt rdacontent computer c rdamedia online resource cr rdacarrier "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. Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Phase transformations (Statistical physics) http://id.loc.gov/authorities/subjects/sh85100646 Apprentissage automatique. Transitions de phase. COMPUTERS Computer Vision & Pattern Recognition. bisacsh COMPUTERS Enterprise Applications Business Intelligence Tools. bisacsh COMPUTERS Intelligence (AI) & Semantics. bisacsh Machine learning fast Phase transformations (Statistical physics) fast Maschinelles Lernen gnd Phasenumwandlung gnd http://d-nb.info/gnd/4132140-6 Giordana, Attilio. Cornuejols, Antoine. has work: Phase transitions in machine learning (Text) https://id.oclc.org/worldcat/entity/E39PCH6mhVRKxFWxtR7rcKYqpK https://id.oclc.org/worldcat/ontology/hasWork Print version: Saitta, L. (Lorenza), 1944- Phase transitions in machine learning. Cambridge ; New York : Cambridge University Press, 2011 9780521763912 (DLC) 2011015141 (OCoLC)699759823 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=369460 Volltext |
| spellingShingle | Saitta, Lorenza, 1944- Phase transitions in machine learning / Statistical physics and phase transitions; The satisfiability problem; Constraint satisfaction problems; Machine learning; Searching the hypothesis space; Statistical physics and machine learning; Learning, SAT, and CSP; Phase transition in FOL covering test; Phase transitions and relational learning; Phase transitions in grammatical inference; Relationships with complex systems; Phase transitions in natural systems; Discussions and open issues; Phase transitions detected in two real cases; An intriguing idea; Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Phase transformations (Statistical physics) http://id.loc.gov/authorities/subjects/sh85100646 Apprentissage automatique. Transitions de phase. COMPUTERS Computer Vision & Pattern Recognition. bisacsh COMPUTERS Enterprise Applications Business Intelligence Tools. bisacsh COMPUTERS Intelligence (AI) & Semantics. bisacsh Machine learning fast Phase transformations (Statistical physics) fast Maschinelles Lernen gnd Phasenumwandlung gnd http://d-nb.info/gnd/4132140-6 |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85079324 http://id.loc.gov/authorities/subjects/sh85100646 http://d-nb.info/gnd/4132140-6 |
| title | Phase transitions in machine learning / |
| title_alt | Statistical physics and phase transitions; The satisfiability problem; Constraint satisfaction problems; Machine learning; Searching the hypothesis space; Statistical physics and machine learning; Learning, SAT, and CSP; Phase transition in FOL covering test; Phase transitions and relational learning; Phase transitions in grammatical inference; Relationships with complex systems; Phase transitions in natural systems; Discussions and open issues; Phase transitions detected in two real cases; An intriguing idea; |
| title_auth | Phase transitions in machine learning / |
| title_exact_search | Phase transitions in machine learning / |
| title_full | Phase transitions in machine learning / Lorenza Saitta, Attilio Giordana, Antoine Cornuéjols. |
| title_fullStr | Phase transitions in machine learning / Lorenza Saitta, Attilio Giordana, Antoine Cornuéjols. |
| title_full_unstemmed | Phase transitions in machine learning / Lorenza Saitta, Attilio Giordana, Antoine Cornuéjols. |
| title_short | Phase transitions in machine learning / |
| title_sort | phase transitions in machine learning |
| topic | Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Phase transformations (Statistical physics) http://id.loc.gov/authorities/subjects/sh85100646 Apprentissage automatique. Transitions de phase. COMPUTERS Computer Vision & Pattern Recognition. bisacsh COMPUTERS Enterprise Applications Business Intelligence Tools. bisacsh COMPUTERS Intelligence (AI) & Semantics. bisacsh Machine learning fast Phase transformations (Statistical physics) fast Maschinelles Lernen gnd Phasenumwandlung gnd http://d-nb.info/gnd/4132140-6 |
| topic_facet | 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 |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=369460 |
| work_keys_str_mv | AT saittalorenza phasetransitionsinmachinelearning AT giordanaattilio phasetransitionsinmachinelearning AT cornuejolsantoine phasetransitionsinmachinelearning |