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Ranked Set Sampling: Theory and Applications
Seller: Richard Booth's Bookshop, Hereford, United Kingdom
Seller rating 5 out of 5 stars
US$ 28.04
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Add to basketPaperBack. Condition: Good. No Jacket. Lecture Notes in Statistics 176239pp. Good condition paperback.
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Statistical Methods for Qtl Mapping
Book 24 of 50: Chapman & Hall/CRC Computational Biology SeriesLanguage: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032922680 ISBN 13: 9781032922683
Condition: As New. Unread book in perfect condition.
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Bringing Machine Learning to Software-Defined Networks
Book 15 of 60: SpringerBriefs in Computer ScienceUS$ 58.97
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Triangle Mesh Watermarking and Steganography
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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Bringing Machine Learning to Software-Defined Networks (SpringerBriefs in Computer Science)
Book 15 of 60: SpringerBriefs in Computer ScienceSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Ranked Set Sampling : Theory and Applications
First Edition
Condition: Good. 1st Edition. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Statistical Methods for Qtl Mapping
Book 24 of 50: Chapman & Hall/CRC Computational Biology SeriesLanguage: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032922680 ISBN 13: 9781032922683
Condition: New.
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Statistical Methods for QTL Mapping (Chapman & Hall/CRC Computational Biology Series)
Book 24 of 50: Chapman & Hall/CRC Computational Biology SeriesLanguage: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032922680 ISBN 13: 9781032922683
Condition: New.
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Statistical Methods for QTL Mapping (Chapman & Hall/CRC Computational Biology Series)
Book 24 of 50: Chapman & Hall/CRC Computational Biology SeriesLanguage: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032922680 ISBN 13: 9781032922683
Condition: New.
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Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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Bringing Machine Learning To Software-de
Book 15 of 60: SpringerBriefs in Computer ScienceSeller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New.
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Statistical Methods for Qtl Mapping
Book 24 of 50: Chapman & Hall/CRC Computational Biology SeriesLanguage: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032922680 ISBN 13: 9781032922683
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Statistical Methods for QTL Mapping
Book 24 of 50: Chapman & Hall/CRC Computational Biology SeriesLanguage: English
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032922680 ISBN 13: 9781032922683
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 76.21
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Statistical Methods for Qtl Mapping
Book 24 of 50: Chapman & Hall/CRC Computational Biology SeriesLanguage: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032922680 ISBN 13: 9781032922683
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Bringing Machine Learning to Software-Defined Networks
Book 15 of 60: SpringerBriefs in Computer ScienceLanguage: English
Published by Springer-Nature New York Inc, 2022
ISBN 10: 9811948739 ISBN 13: 9789811948732
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Add to basketPaperback. Condition: Brand New. 81 pages. 9.25x6.10x0.17 inches. In Stock.
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Statistical Methods for QTL Mapping
Book 24 of 50: Chapman & Hall/CRC Computational Biology SeriesLanguage: English
Published by Taylor & Francis Group, 2013
ISBN 10: 1439868301 ISBN 13: 9781439868300
Condition: New. pp. 308.
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Statistical Methods for QTL Mapping
Book 24 of 50: Chapman & Hall/CRC Computational Biology SeriesLanguage: English
Published by Taylor & Francis Group, 2013
ISBN 10: 1439868301 ISBN 13: 9781439868300
Condition: New. pp. 308.
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Bringing Machine Learning to Software-Defined Networks
Book 15 of 60: SpringerBriefs in Computer ScienceLanguage: English
Published by Springer Nature Singapore, Springer Nature Singapore Okt 2022, 2022
ISBN 10: 9811948739 ISBN 13: 9789811948732
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -Emerging machine learning techniques bring new opportunities to flexible network control and management. This book focuses on using state-of-the-art machine learning-based approaches to improve the performance of Software-Defined Networking (SDN). It will apply several innovative machine learning methods (e.g., Deep Reinforcement Learning, Multi-Agent Reinforcement Learning, and Graph Neural Network) to traffic engineering and controller load balancing in software-defined wide area networks, as well as flow scheduling, coflow scheduling, and flow migration for network function virtualization in software-defined data center networks. It helps readers reflect on several practical problems of deploying SDN and learn how to solve the problems by taking advantage of existing machine learning techniques. The book elaborates on the formulation of each problem, explains design details for each scheme, and provides solutions by running mathematical optimization processes, conducting simulated experiments, and analyzing the experimental results.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 84 pp. Englisch.
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Condition: New. While numerous advanced statistical approaches have recently been developed for quantitative trait loci (QTL) mapping, the methods are scattered throughout the literature. Statistical Methods for QTL Mapping brings together many recent s.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Emerging machine learning techniques bring new opportunities to flexible network control and management. This book focuses on using state-of-the-art machine learning-based approaches to improve the performance of Software-Defined Networking (SDN). It will apply several innovative machine learning methods (e.g., Deep Reinforcement Learning, Multi-Agent Reinforcement Learning, and Graph Neural Network) to traffic engineering and controller load balancing in software-defined wide area networks, as well as flow scheduling, coflow scheduling, and flow migration for network function virtualization in software-defined data center networks. It helps readers reflect on several practical problems of deploying SDN and learn how to solve the problems by taking advantage of existing machine learning techniques. The book elaborates on the formulation of each problem, explains design details for each scheme, and provides solutions by running mathematical optimization processes, conducting simulated experiments, and analyzing the experimental results.
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Ranked Set Sampling: Theory and Applications (Lecture Notes in Statistics, 176)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 132.19
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Advances in Statistics
Language: English
Published by World Scientific Publishing Company, 2008
ISBN 10: 9812793089 ISBN 13: 9789812793089
Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Advances in Statistics
Language: English
Published by World Scientific Publishing Company, 2008
ISBN 10: 9812793089 ISBN 13: 9789812793089
Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Bringing Machine Learning to Software-Defined Networks
Book 15 of 60: SpringerBriefs in Computer ScienceLanguage: English
Published by Springer Nature Singapore, 2022
ISBN 10: 9811948739 ISBN 13: 9789811948732
Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Emerging machine learning techniques bring new opportunities to flexible network control and management. This book focuses on using state-of-the-art machine learning-based approaches to improve the performance of Software-Defined Networking (SDN). It will apply several innovative machine learning methods (e.g., Deep Reinforcement Learning, Multi-Agent Reinforcement Learning, and Graph Neural Network) to traffic engineering and controller load balancing in software-defined wide area networks, as well as flow scheduling, coflow scheduling, and flow migration for network function virtualization in software-defined data center networks. It helps readers reflect on several practical problems of deploying SDN and learn how to solve the problems by taking advantage of existing machine learning techniques. The book elaborates on the formulation of each problem, explains design details for each scheme, and provides solutions by running mathematical optimization processes, conducting simulated experiments, and analyzing the experimental results.
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Statistical Methods for QTL Mapping
Book 24 of 50: Chapman & Hall/CRC Computational Biology SeriesLanguage: English
Published by Chapman and Hall/CRC, 2013
ISBN 10: 1439868301 ISBN 13: 9781439868300
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 147.35
US$ 20.41 shipping
Ships from United Kingdom to U.S.A.Quantity: 10 available
Add to basketCondition: New.
