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Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems - Couverture rigide
Synopsis
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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- ÉditeurSpringer Nature Switzerland AG
- Date d'édition2019
- ISBN 10 3030156273
- ISBN 13 9783030156275
- ReliureRelié
- Langueanglais
- Nombre de pages548
- ÉditeurTsihrintzis George A., Virvou Maria, Sakkopoulos Evangelos, Jain Lakhmi C.
- Coordonnées du fabricantnon disponible
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Machine Learning Paradigms. Applications of Learning and Analytics in Intelligent Systems.
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Cham, Springer., 2019
ISBN 10 : 3030156273
ISBN 13 : 9783030156275
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XX, 548 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Learning and Analytics in Intelligent Systems, 1. Sprache: Englisch. N° de réf. du vendeur 9769GB
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Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems
Edité par
Springer, 2019
ISBN 10 : 3030156273
ISBN 13 : 9783030156275
Ancien ou d'occasion
Couverture rigide
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Hardcover. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 2.14. N° de réf. du vendeur G3030156273I4N00
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Machine Learning Paradigms
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Springer International Publishing, 2019
ISBN 10 : 3030156273
ISBN 13 : 9783030156275
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Gebunden. 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 . N° de réf. du vendeur 271866415
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Machine Learning Paradigms : Applications of Learning and Analytics in Intelligent Systems
Edité par
Springer International Publishing, 2019
ISBN 10 : 3030156273
ISBN 13 : 9783030156275
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. 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 réf. du vendeur 9783030156275
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Machine Learning Paradigms
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Springer International Publishing Jul 2019, 2019
ISBN 10 : 3030156273
ISBN 13 : 9783030156275
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Buch. 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 réf. du vendeur 9783030156275
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Machine Learning Paradigms
ISBN 10 : 3030156273
ISBN 13 : 9783030156275
Neuf
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Buch. 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 réf. du vendeur 9783030156275
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Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems (Learning and Analytics in Intelligent Systems, 1)
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Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems
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Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems
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Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems
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