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US$ 209.16
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Algorithms in Machine Learning Paradigms (Studies in Computational Intelligence, 870)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Algorithms in Machine Learning Paradigms (Studies in Computational Intelligence)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Algorithms in Machine Learning Paradigms
Published by Springer Verlag, Singapore, 2020
ISBN 10: 9811510407 ISBN 13: 9789811510403
Language: English
First Edition
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Algorithms in Machine Learning Paradigms
Published by Springer Nature Singapore, Springer Nature Singapore, 2021
ISBN 10: 9811510431 ISBN 13: 9789811510434
Language: English
US$ 235.12
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents studies involving algorithms in the machine learning paradigms. It discusses a variety of learning problems with diverse applications, including prediction, concept learning, explanation-based learning, case-based (exemplar-based) learning, statistical rule-based learning, feature extraction-based learning, optimization-based learning, quantum-inspired learning, multi-criteria-based learning and hybrid intelligence-based learning.
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Algorithms in Machine Learning Paradigms
Published by Springer Nature Singapore, Springer Nature Singapore, 2020
ISBN 10: 9811510407 ISBN 13: 9789811510403
Language: English
US$ 236.99
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents studies involving algorithms in the machine learning paradigms. It discusses a variety of learning problems with diverse applications, including prediction, concept learning, explanation-based learning, case-based (exemplar-based) learning, statistical rule-based learning, feature extraction-based learning, optimization-based learning, quantum-inspired learning, multi-criteria-based learning and hybrid intelligence-based learning.
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Algorithms in Machine Learning Paradigms
Published by Springer Nature Singapore, Springer Nature Singapore Jan 2021, 2021
ISBN 10: 9811510431 ISBN 13: 9789811510434
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
US$ 226.67
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Add to basketTaschenbuch. Condition: Neu. Neuware -This book presents studies involving algorithms in the machine learning paradigms. It discusses a variety of learning problems with diverse applications, including prediction, concept learning, explanation-based learning, case-based (exemplar-based) learning, statistical rule-based learning, feature extraction-based learning, optimization-based learning, quantum-inspired learning, multi-criteria-based learning and hybrid intelligence-based learning.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 208 pp. Englisch.
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Add to basketPaperback. Condition: Brand New. 208 pages. 9.25x6.10x0.67 inches. In Stock.
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US$ 318.07
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Add to basketHardcover. Condition: Brand New. 208 pages. 9.25x6.10x0.67 inches. In Stock.
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Algorithms in Machine Learning Paradigms
Published by Springer Nature Singapore, 2021
ISBN 10: 9811510431 ISBN 13: 9789811510434
Language: English
US$ 191.27
Convert currencyUS$ 55.98 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Discusses machine learning applicationsIncludes a wide variety of problems using learning algorithms along with applicationsComprises chapters from experts in the field Dr. Jyotsna Kumar Mandal is a Pro.
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Algorithms in Machine Learning Paradigms
Published by Springer Nature Singapore, 2020
ISBN 10: 9811510407 ISBN 13: 9789811510403
Language: English
US$ 191.27
Convert currencyUS$ 55.98 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Discusses machine learning applicationsIncludes a wide variety of problems using learning algorithms along with applicationsComprises chapters from experts in the field Dr. Jyotsna Kumar Mandal is a Pro.
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Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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US$ 245.49
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Add to basketPAP. 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.
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Algorithms in Machine Learning Paradigms
Published by Springer Nature Singapore Jan 2021, 2021
ISBN 10: 9811510431 ISBN 13: 9789811510434
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 226.67
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents studies involving algorithms in the machine learning paradigms. It discusses a variety of learning problems with diverse applications, including prediction, concept learning, explanation-based learning, case-based (exemplar-based) learning, statistical rule-based learning, feature extraction-based learning, optimization-based learning, quantum-inspired learning, multi-criteria-based learning and hybrid intelligence-based learning. 208 pp. Englisch.
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Algorithms in Machine Learning Paradigms
Published by Springer Nature Singapore Jan 2020, 2020
ISBN 10: 9811510407 ISBN 13: 9789811510403
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 226.67
Convert currencyUS$ 26.28 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents studies involving algorithms in the machine learning paradigms. It discusses a variety of learning problems with diverse applications, including prediction, concept learning, explanation-based learning, case-based (exemplar-based) learning, statistical rule-based learning, feature extraction-based learning, optimization-based learning, quantum-inspired learning, multi-criteria-based learning and hybrid intelligence-based learning. 208 pp. Englisch.
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Algorithms in Machine Learning Paradigms
Published by Springer Nature Singapore, Springer Nature Singapore Jan 2020, 2020
ISBN 10: 9811510407 ISBN 13: 9789811510403
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
US$ 226.67
Convert currencyUS$ 62.85 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketBuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents studies involving algorithms in the machine learning paradigms. It discusses a variety of learning problems with diverse applications, including prediction, concept learning, explanation-based learning, case-based (exemplar-based) learning, statistical rule-based learning, feature extraction-based learning, optimization-based learning, quantum-inspired learning, multi-criteria-based learning and hybrid intelligence-based learning.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 208 pp. Englisch.
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US$ 288.24
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US$ 264.31
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents widely used data-mining algorithms and explains their advantages and disadvantages, their mathematical treatment, applications, energy efficient implementations, and more. The presents research of energy efficient accelerators for machine learning .
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Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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US$ 321.37
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Add to basketHRD. 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.
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms
Published by Engineering Science Reference, 2022
ISBN 10: 1799883515 ISBN 13: 9781799883517
Language: English
US$ 327.47
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Add to basketTaschenbuch. 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.
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Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms
Published by Engineering Science Reference, 2022
ISBN 10: 1799883507 ISBN 13: 9781799883500
Language: English
US$ 346.27
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Add to basketGebunden. 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.
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Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms
Published by Engineering Science Reference, 2022
ISBN 10: 1799883507 ISBN 13: 9781799883500
Language: English
US$ 429.02
Convert currencyUS$ 36.47 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketBuch. 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.
