Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems - Couverture souple

9783030156305: Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems

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ISBN 10 : 3030156303 ISBN 13 : 9783030156305

Editeur : Springer Nature Switzerland AG, 2020

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Chapter 1: Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems.- Chapter 2: A Comparison of Machine Learning Techniques to Predict the Risk of Heart Failure.- Chapter 3: Differential gene Expression Analysis of RNA-seq Data Using Machine Learning for Cancer Research.- Chapter 4: Machine Learning Approaches for Pap-Smear Diagnosis: An Overview.- Chapter 5: Multi-Kernel Analysis Paradigm Implementing the Learning from Loads Approach for Smart Power Systems.- Chapter 6: Conceptualizing and Measuring Energy Security: Geopolitical Dimensions, Data Availability, Quantitative and Qualitative Methods.- Chapter 7: Automated Stock Price Motion Prediction Using Technical Analysis Datasets and Machine Learning.- Chapter 8: Airport Data Analysis Using Common Statistical Methods and Knowledge-Based Techniques.- Chapter 9: A Taxonomy and Review of the Network Data Envelopment Analysis Literature.- Chapter 10: Applying Advanced Data Analytics and Machine Learning to Enhance the Safety Control of Dams.- Chapter 11: Analytics and Evolving Landscape of Machine Learning for Emergency Response.- Chapter 12: Social Media Analytics, Types and Methodology.- Chapter 13: Machine Learning Methods for Opinion Mining in Text: The Past and the Future.- Chapter 14: Ship Detection Using Machine Learning and Optical Imagery in the Maritime Environment.- Chapter 15: Video Analytics for Visual Surveillance and Applications: An Overview and Survey.- Chapter 16: Machine Learning in Alternate Testing of Integrated Circuits

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�diteurSpringer Nature Switzerland AG
Date d'�dition2020
ISBN 10 3030156303
ISBN 13 9783030156305
ReliureBroch�
Langueanglais
Nombre de pages548
�diteurTsihrintzis George A., Virvou Maria, Sakkopoulos Evangelos, Jain Lakhmi C.
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9783030156275: Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems

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ISBN 10 : 3030156273 ISBN 13 : 9783030156275
Editeur : Springer Nature Switzerland AG, 2019
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Machine Learning Paradigms

Tsihrintzis, George A|Virvou, Maria|Sakkopoulos, Evangelos|Jain, Lakhmi C

Edit� par Springer International Publishing, 2020

ISBN 10 : 3030156303 ISBN 13 : 9783030156305

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents applications of learning and analytics methodologies in intelligent systems and various technological fields Highlights the latest research on machine learning paradigms Written by recognized experts in the field&nbsp. N� de r�f. du vendeur 448673725

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Machine Learning Paradigms : Applications of Learning and Analytics in Intelligent Systems

George A. Tsihrintzis

Edit� par Springer International Publishing, 2020

ISBN 10 : 3030156303 ISBN 13 : 9783030156305

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is the inaugural volume in the new Springer series on Learning and Analytics in Intelligent Systems. The series aims at providing, in hard-copy and soft-copy form, books on all aspects of learning, analytics, advanced intelligent systems and related technologies. These disciplines are strongly related and mutually complementary; accordingly, the new series encourages an integrated approach to themes and topics in these disciplines, which will result in significant cross-fertilization, research advances and new knowledge creation. To maximize the dissemination of research findings, the series will publish edited books, monographs, handbooks, textbooks and conference proceedings. This book is intended for professors, researchers, scientists, engineers and students. An extensive list of references at the end of each chapter allows readers to probe further into those application areas that interest them most. N� de r�f. du vendeur 9783030156305

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Machine Learning Paradigms

George A. Tsihrintzis

Edit� par Springer International Publishing Aug 2020, 2020

ISBN 10 : 3030156303 ISBN 13 : 9783030156305

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is the inaugural volume in the new Springer series on Learning and Analytics in Intelligent Systems. The series aims at providing, in hard-copy and soft-copy form, books on all aspects of learning, analytics, advanced intelligent systems and related technologies. These disciplines are strongly related and mutually complementary; accordingly, the new series encourages an integrated approach to themes and topics in these disciplines, which will result in significant cross-fertilization, research advances and new knowledge creation. To maximize the dissemination of research findings, the series will publish edited books, monographs, handbooks, textbooks and conference proceedings. This book is intended for professors, researchers, scientists, engineers and students. An extensive list of references at the end of each chapter allows readers to probe further into those application areas that interest them most. 568 pp. Englisch. N� de r�f. du vendeur 9783030156305

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Machine Learning Paradigms

George A. Tsihrintzis

Edit� par Springer International Publishing, Springer International Publishing Aug 2020, 2020

ISBN 10 : 3030156303 ISBN 13 : 9783030156305

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Taschenbuch. Etat : Neu. Neuware -This book is the inaugural volume in the new Springer series on Learning and Analytics in Intelligent Systems. The series aims at providing, in hard-copy and soft-copy form, books on all aspects of learning, analytics, advanced intelligent systems and related technologies. These disciplines are strongly related and mutually complementary; accordingly, the new series encourages an integrated approach to themes and topics in these disciplines, which will result in significant cross-fertilization, research advances and new knowledge creation. To maximize the dissemination of research findings, the series will publish edited books, monographs, handbooks, textbooks and conference proceedings. This book is intended for professors, researchers, scientists, engineers and students. An extensive list of references at the end of each chapter allows readers to probe further into those application areas that interest them most.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 568 pp. Englisch. N� de r�f. du vendeur 9783030156305

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