Implementation of Machine Learning Algorithms Using Control-flow and Dataflow Paradigms

Milutinovic, Veljko/ Mitic, Nenad/ Kartelj, Aleksandar/ Kotlar, Milos

ISBN 10: 1799883507 ISBN 13: 9781799883500

Editorial: Engineering Science Reference, 2022

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296 pages. 11.00x8.50x10.00 inches. In Stock. N� de ref. del art�culo x-1799883507

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Sinopsis:

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.

Acerca del autor: Veljko Milutinovi?, Indiana University, Bloomington, USA

Nenad Mitic, University of Belgrade, Serbia

Aleksandar Kartelj, University of Belgrade, Serbia

Miloš Kotlar, University of Belgrade, Serbia

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Detalles bibliogr�ficos

T�tulo: Implementation of Machine Learning ...
Editorial: Engineering Science Reference
A�o de publicaci�n: 2022
Encuadernaci�n: Hardcover
Condici�n: Brand New

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Implementation of Machine Learning Algorithms Using Control-flow and Dataflow Paradigms

Milutinovic, Veljko; Mitic, Nenad; Kartelj, Aleksandar; Kotlar, Milos

Publicado por Engineering Science Reference, 2022

ISBN 10: 1799883507 ISBN 13: 9781799883500

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Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms

Aleksandar Kartelj

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ISBN 10: 1799883507 ISBN 13: 9781799883500

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Implementation of Machine Learning Algorithms Using Control-flow and Dataflow Paradigms

Milutinovic, Veljko; Mitic, Nenad; Kartelj, Aleksandar; Kotlar, Milos

Publicado por Engineering Science Reference, 2022

ISBN 10: 1799883507 ISBN 13: 9781799883500

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Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms

Aleksandar Kartelj

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Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms

Milutinovi�, Veljko|Miti�, Nenad|Kartelj, Aleksandar

Publicado por Engineering Science Reference, 2022

ISBN 10: 1799883507 ISBN 13: 9781799883500

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Condici�n: 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. N� de ref. del art�culo: 635886136

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