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Published by Springer, 2015
ISBN 10: 3319162284ISBN 13: 9783319162287
Seller: booksXpress, Bayonne, NJ, U.S.A.
Book
Hardcover. Condition: new.
Published by Springer, 2016
ISBN 10: 3319367587ISBN 13: 9783319367583
Seller: booksXpress, Bayonne, NJ, U.S.A.
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Soft Cover. Condition: new. This item is printed on demand.
Published by Prentice Hall, 1991
ISBN 10: 0136127894ISBN 13: 9780136127895
Seller: Basi6 International, Irving, TX, U.S.A.
Book
Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Published by Prentice Hall, 1991
ISBN 10: 0136127894ISBN 13: 9780136127895
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 Prentice Hall, 1991
ISBN 10: 0136127894ISBN 13: 9780136127895
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 Wiley-IEEE Computer Society Pr, 1996
ISBN 10: 0818670967ISBN 13: 9780818670961
Seller: booksXpress, Bayonne, NJ, U.S.A.
Book
Soft Cover. Condition: new.
Published by Springer, 2013
ISBN 10: 1461478219ISBN 13: 9781461478218
Seller: booksXpress, Bayonne, NJ, U.S.A.
Book
Soft Cover. Condition: new.
Published by John Wiley and Sons, 1996
ISBN 10: 0818670967ISBN 13: 9780818670961
Seller: INDOO, Avenel, NJ, U.S.A.
Book
Condition: New. Brand New.
Published by Springer International Publishing Mai 2015, 2015
ISBN 10: 3319162284ISBN 13: 9783319162287
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Book Print on Demand
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This unique text/reference describes an exciting and novel approach to supercomputing in the DataFlow paradigm. The major advantages and applications of this approach are clearly described, and a detailed explanation of the programming model is provided using simple yet effective examples. The work is developed from a series of lecture courses taught by the authors in more than 40 universities across more than 20 countries, and from research carried out by Maxeler Technologies, Inc. Topics and features: presents a thorough introduction to DataFlow supercomputing for big data problems; reviews the latest research on the DataFlow architecture and its applications; introduces a new method for the rapid handling of real-world challenges involving large datasets; provides a case study on the use of the new approach to accelerate the Cooley-Tukey algorithm on a DataFlow machine; includes a step-by-step guide to the web-based integrated development environment WebIDE. 140 pp. Englisch.
Published by Springer, 2013
ISBN 10: 1461478219ISBN 13: 9781461478218
Seller: Books Puddle, New York, NY, U.S.A.
Book
Condition: New. pp. 76.
Published by Springer International Publishing, 2015
ISBN 10: 3319162284ISBN 13: 9783319162287
Seller: AHA-BUCH GmbH, Einbeck, Germany
Book
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This unique text/reference describes an exciting and novel approach to supercomputing in the DataFlow paradigm. The major advantages and applications of this approach are clearly described, and a detailed explanation of the programming model is provided using simple yet effective examples. The work is developed from a series of lecture courses taught by the authors in more than 40 universities across more than 20 countries, and from research carried out by Maxeler Technologies, Inc. Topics and features: presents a thorough introduction to DataFlow supercomputing for big data problems; reviews the latest research on the DataFlow architecture and its applications; introduces a new method for the rapid handling of real-world challenges involving large datasets; provides a case study on the use of the new approach to accelerate the Cooley-Tukey algorithm on a DataFlow machine; includes a step-by-step guide to the web-based integrated development environment WebIDE.
Published by Springer, 2013
ISBN 10: 1461478219ISBN 13: 9781461478218
Seller: Majestic Books, Hounslow, United Kingdom
Book Print on Demand
Condition: New. Print on Demand pp. 76 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
Published by Wiley-IEEE Computer Society Pr, 1997
ISBN 10: 0818677376ISBN 13: 9780818677373
Seller: booksXpress, Bayonne, NJ, U.S.A.
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Soft Cover. Condition: new. This item is printed on demand.
Published by Wiley-Interscience, 2000
ISBN 10: 0471357286ISBN 13: 9780471357285
Seller: Mispah books, Redhill, SURRE, United Kingdom
Book
Hardcover. Condition: Like New. Like New. book.
Published by Engineering Science Reference, 2022
ISBN 10: 1799883515ISBN 13: 9781799883517
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Based on current literature and cutting-edge advances in the machine learning field, there are four algorithms whose usage in new application domains must be explored: neural networks, rule induction algorithms, tree-based algorithms, and density-based algorithms. A number of machine learning related algorithms have been derived from these four algorithms. Consequently, they represent excellent underlying methods for extracting hidden knowledge from unstructured data, as essential data mining tasks. Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms presents widely used data-mining algorithms and explains their advantages and disadvantages, their mathematical treatment, applications, energy efficient implementations, and more. It presents research of energy efficient accelerators for machine learning algorithms. Covering topics such as control-flow implementation, approximate computing, and decision tree algorithms, this book is an essential resource for computer scientists, engineers, students and educators of higher education, researchers, and academicians.
Published by IGI Global, 2021
ISBN 10: 1799883507ISBN 13: 9781799883500
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
Book Print on Demand
HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Published by Engineering Science Reference, 2022
ISBN 10: 1799883507ISBN 13: 9781799883500
Seller: moluna, Greven, Germany
Book Print on Demand
Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Serves as reference for professionals who would like to advance their research of energy efficient accelerators for machine learning algorithms like data mining, and to switch from the existing control-flow paradigm to energy efficient dataflow paradigm.
Published by IGI Global, 2021
ISBN 10: 1799883507ISBN 13: 9781799883500
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Book Print on Demand
HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Published by Engineering Science Reference, 2022
ISBN 10: 1799883507ISBN 13: 9781799883500
Seller: AHA-BUCH GmbH, Einbeck, Germany
Book Print on Demand
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Based on current literature and cutting-edge advances in the machine learning field, there are four algorithms whose usage in new application domains must be explored: neural networks, rule induction algorithms, tree-based algorithms, and density-based algorithms. A number of machine learning related algorithms have been derived from these four algorithms. Consequently, they represent excellent underlying methods for extracting hidden knowledge from unstructured data, as essential data mining tasks. Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms presents widely used data-mining algorithms and explains their advantages and disadvantages, their mathematical treatment, applications, energy efficient implementations, and more. It presents research of energy efficient accelerators for machine learning algorithms. Covering topics such as control-flow implementation, approximate computing, and decision tree algorithms, this book is an essential resource for computer scientists, engineers, students and educators of higher education, researchers, and academicians.