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Phase Transitions in Machine Learning

by Lorenza Saitta , Attilio Giordana , Antoine Cornuéjols
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₹12,540.00
Original price ₹12,540.00
Original price ₹12,540.00
₹12,540.00
Current price ₹12,540.00

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Book cover type: Hardcover
  • ISBN13: 9780521763912
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: Cambridge University Press
  • Publisher Imprint: Cambridge University Press
  • Publication Date:
  • Pages: 410
  • Original Price: USD 120.0
  • Language: English
  • Edition: N/A
  • Item Weight: 998 grams
  • BISAC Subject(s): Artificial Intelligence / Computer Vision & Pattern Recognition

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.

Cornuéjols, Antoine: - Lorenza Saitta is a Full Professor of Computer Science at the University of Piemonte Orientale in Italy.

Giordana, Attilio: - Attilio Giordana is Full Professor of Computer Science at the University of Piemonte Orientale in Italy.

Saitta, Lorenza: - Antoine Cornuéjols is Full Professor of Computer Science at the AgroParisTech Engineering School in Paris.

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