Phase Transitions in Machine Learning (PDF)
(Sprache: Englisch)
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...
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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 tackling them. Weaving together fundamental aspects of computer science, statistical physics and machine learning, the book provides sufficient mathematics and physics background to make the subject intelligible to researchers in AI and other computer science communities. Open research issues are also discussed, suggesting promising directions for future research.
Bibliographische Angaben
- Autoren: Lorenza Saitta , Antoine Cornuejols , Attilio Giordana
- 2011, Englisch
- Verlag: Cambridge University Press
- ISBN-10: 1107217156
- ISBN-13: 9781107217157
- Erscheinungsdatum: 16.06.2011
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Ohne Kopierschutz
Sprache:
Englisch
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