Published by Springer Nature Singapore, 2022
ISBN 10: 9811950725 ISBN 13: 9789811950728
Language: English
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Published by Springer Nature Singapore, Springer Nature Singapore, 2023
ISBN 10: 981195075X ISBN 13: 9789811950759
Language: English
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book elaborately discusses techniques commonly used to improve generalization performance in classification approaches. The contents highlight methods to improve classification performance in numerous case studies: ranging from datasets of UCI repository to predictive maintenance problems and cancer classification problems. The book specifically provides a detailed tutorial on how to approach time-series classification problems and discusses two real time case studies on condition monitoring. In addition to describing the various aspects a data scientist must consider before finalizing their approach to a classification problem and reviewing the state of the art for improving classification generalization performance, it also discusses in detail the authors own contributions to the field, including MVPC - a classifier with very low VC dimension, a graphical indices based framework for reliable predictive maintenance and a novel general-purpose membership functions for Fuzzy Support Vector Machine which provides state of the art performance with noisy datasets, and a novel scheme to introduce deep learning in Fuzzy Rule based classifiers (FRCs). This volume will serve as a useful reference for researchers and students working on machine learning, health monitoring, predictive maintenance, time-series analysis, gene-expression data classification.
Published by Springer Nature Singapore, Springer Nature Singapore, 2022
ISBN 10: 9811950725 ISBN 13: 9789811950728
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book elaborately discusses techniques commonly used to improve generalization performance in classification approaches. The contents highlight methods to improve classification performance in numerous case studies: ranging from datasets of UCI repository to predictive maintenance problems and cancer classification problems. The book specifically provides a detailed tutorial on how to approach time-series classification problems and discusses two real time case studies on condition monitoring. In addition to describing the various aspects a data scientist must consider before finalizing their approach to a classification problem and reviewing the state of the art for improving classification generalization performance, it also discusses in detail the authors own contributions to the field, including MVPC - a classifier with very low VC dimension, a graphical indices based framework for reliable predictive maintenance and a novel general-purpose membership functions for Fuzzy Support Vector Machine which provides state of the art performance with noisy datasets, and a novel scheme to introduce deep learning in Fuzzy Rule based classifiers (FRCs). This volume will serve as a useful reference for researchers and students working on machine learning, health monitoring, predictive maintenance, time-series analysis, gene-expression data classification.
Published by Engineering Science Reference, 2022
ISBN 10: 179989309X ISBN 13: 9781799893097
Language: English
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Published by Engineering Science Reference, 2020
ISBN 10: 1799830969 ISBN 13: 9781799830962
Language: English
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Published by Engineering Science Reference, 2020
ISBN 10: 1799830969 ISBN 13: 9781799830962
Language: English
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Published by Engineering Science Reference, 2022
ISBN 10: 179989309X ISBN 13: 9781799893097
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Published by Engineering Science Reference, 2020
ISBN 10: 1799830969 ISBN 13: 9781799830962
Language: English
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Published by Engineering Science Reference, 2022
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Published by Engineering Science Reference, 2022
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Published by Engineering Science Reference, 2020
ISBN 10: 1799830969 ISBN 13: 9781799830962
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Published by Springer-Nature New York Inc, 2022
ISBN 10: 9811950725 ISBN 13: 9789811950728
Language: English
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Add to basketHardcover. Condition: Brand New. 189 pages. 9.25x6.10x0.63 inches. In Stock.
Published by Engineering Science Reference, 2022
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Published by Engineering Science Reference, 2020
ISBN 10: 1799830969 ISBN 13: 9781799830962
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Published by Engineering Science Reference, 2020
ISBN 10: 1799830950 ISBN 13: 9781799830955
Language: English
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Published by Engineering Science Reference, 2022
ISBN 10: 1799893081 ISBN 13: 9781799893080
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Published by Engineering Science Reference, 2022
ISBN 10: 179989309X ISBN 13: 9781799893097
Language: English
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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.
Published by Engineering Science Reference, 2022
ISBN 10: 179989309X ISBN 13: 9781799893097
Language: English
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PAP. 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: 179989309X ISBN 13: 9781799893097
Language: English
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Add to basketEinband - flex.(Paperback). Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextTechnological advancements of recent decades have reshaped the way people socialize, work, learn, and ultimately live. The use of cyber-physical systems (CPS) specifically have helped people lead their lives with greater contr.
Published by Engineering Science Reference, 2020
ISBN 10: 1799830969 ISBN 13: 9781799830962
Language: English
Seller: moluna, Greven, Germany
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Add to basketKartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents research exploring the theoretical and practical aspects of machine learning and deep learning and their implementations as well as their ability to solve real-world problems within several professional disciplines including healthcare, business, a.
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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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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: 179989309X ISBN 13: 9781799893097
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Technological advancements of recent decades have reshaped the way people socialize, work, learn, and ultimately live. The use of cyber-physical systems (CPS) specifically have helped people lead their lives with greater control and freedom. CPS domains have great societal significance, providing crucial assistance in industries ranging from security to healthcare. At the same time, machine learning (ML) algorithms are known for being substantially efficient, high performing, and have become a real standard due to greater accessibility, and now more than ever, multidisciplinary applications of ML for CPS have become a necessity to help uncover constructive solutions for real-world problems. Real-Time Applications of Machine Learning in Cyber-Physical Systems provides a relevant theoretical framework and the most recent empirical findings on various real-time applications of machine learning in cyber-physical systems. Covering topics like intrusion detection systems, predictive maintenance, and seizure prediction, this book is an essential resource for researchers, machine learning professionals, independent researchers, scholars, scientists, libraries, and academicians.
Published by Engineering Science Reference, 2020
ISBN 10: 1799830969 ISBN 13: 9781799830962
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'This book examines recent advancements in deep learning libraries, frameworks and algorithms. It also explores the multidisciplinary applications of machine learning and deep learning in real world'.
Published by Engineering Science Reference, 2022
ISBN 10: 1799893081 ISBN 13: 9781799893080
Language: English
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Discusses forensic accounting techniques and explores how forensic accountants add value while investigating claims of fraud. The book also highlights the corporate benefits of a forensic accounting audit and the acceptance of this evidence in a court of la.
Published by Engineering Science Reference, 2020
ISBN 10: 1799830950 ISBN 13: 9781799830955
Language: English
Seller: moluna, Greven, Germany
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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. Presents research exploring the theoretical and practical aspects of machine learning and deep learning and their implementations as well as their ability to solve real-world problems within several professional disciplines, including healthcare, business, .