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Published by Cambridge University Press CUP, 2011
ISBN 10: 0521763916ISBN 13: 9780521763912
Seller: Books Puddle, New York, NY, U.S.A.
Book
Condition: New. pp. xv + 383.
Published by Cambridge University Press, 2011
ISBN 10: 0521763916ISBN 13: 9780521763912
Seller: Majestic Books, Hounslow, United Kingdom
Book
Condition: New. pp. xv + 383 Illus.
Published by Cambridge University Press, 2011
ISBN 10: 0521763916ISBN 13: 9780521763912
Seller: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Book
Condition: New. Brand New Original US Edition.We Ship to PO BOX Address also. EXPEDITED shipping option also available for faster delivery.This item may ship from the US or other locations in India depending on your location and availability.
Published by Cambridge University Press, 2011
ISBN 10: 0521763916ISBN 13: 9780521763912
Seller: SMASS Sellers, IRVING, TX, U.S.A.
Book
Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed. This item may ship from the US or our Overseas warehouse depending on your location and stock availability. We Ship to PO BOX Location also.
Published by Cambridge University Press, 2011
ISBN 10: 0521763916ISBN 13: 9780521763912
Seller: GF Books, Inc., Hawthorne, CA, U.S.A.
Book
Condition: Very Good. Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 2.25.
Published by Cambridge University Press, 2011
ISBN 10: 0521763916ISBN 13: 9780521763912
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Book
Hardback. Condition: New. New copy - Usually dispatched within 4 working days.
Published by Cambridge Univ Pr, 2011
ISBN 10: 0521763916ISBN 13: 9780521763912
Seller: Revaluation Books, Exeter, United Kingdom
Book
Hardcover. Condition: Brand New. 1st edition. 416 pages. 10.00x7.75x1.25 inches. In Stock.
Published by Cambridge University Press, Cambridge, 2011
ISBN 10: 0521763916ISBN 13: 9780521763912
Seller: Grand Eagle Retail, Wilmington, DE, U.S.A.
Book
Hardcover. Condition: new. Hardcover. 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. This state-of-the-art overview describes how phase transitions occur and teaches appropriate methods for tackling the consequent problems. Weaving together fundamental aspects of computer science, statistical physics and machine learning, it provides sufficient mathematics and physics background to make the subject intelligible to researchers in AI and other computer science communities. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Cambridge University Press, 2011
ISBN 10: 0521763916ISBN 13: 9780521763912
Seller: GF Books, Inc., Hawthorne, CA, U.S.A.
Book
Condition: Fine. Book is in Used-LikeNew condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear. 2.25.
Published by Cambridge University Press, 2011
ISBN 10: 0521763916ISBN 13: 9780521763912
Seller: GF Books, Inc., Hawthorne, CA, U.S.A.
Book
Condition: New. Book is in NEW condition. 2.25.
Published by Cambridge University Press, 2011
ISBN 10: 0521763916ISBN 13: 9780521763912
Seller: Books Unplugged, Amherst, NY, U.S.A.
Book
Condition: Good. Buy with confidence! Book is in good condition with minor wear to the pages, binding, and minor marks within 2.25.
Published by Cambridge University Press, Cambridge, 2011
ISBN 10: 0521763916ISBN 13: 9780521763912
Seller: CitiRetail, Stevenage, United Kingdom
Book
Hardcover. Condition: new. Hardcover. 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. This state-of-the-art overview describes how phase transitions occur and teaches appropriate methods for tackling the consequent problems. Weaving together fundamental aspects of computer science, statistical physics and machine learning, it provides sufficient mathematics and physics background to make the subject intelligible to researchers in AI and other computer science communities. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Cambridge University Press, Cambridge, 2011
ISBN 10: 0521763916ISBN 13: 9780521763912
Seller: AussieBookSeller, Truganina, VIC, Australia
Book
Hardcover. Condition: new. Hardcover. 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. This state-of-the-art overview describes how phase transitions occur and teaches appropriate methods for tackling the consequent problems. Weaving together fundamental aspects of computer science, statistical physics and machine learning, it provides sufficient mathematics and physics background to make the subject intelligible to researchers in AI and other computer science communities. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.