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Bayesian Optimization Application Computer by Pourmohamad Tony (15 results)
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Condition: New.
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Condition: As New. Unread book in perfect condition.
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Bayesian Optimization with Application to Computer Experiments (SpringerBriefs in Statistics)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Bayesian Optimization with Application to Computer Experiments
Published by Springer Nature Switzerland AG, CH, 2021
ISBN 10: 3030824578 ISBN 13: 9783030824570
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. 1st ed. 2021. This book introduces readers to Bayesian optimization, highlighting advances in the field and showcasing its successful applications to computer experiments. R code is available as online supplementary material for most included examples, so that readers can better comprehend and reproduce methods. Compact and accessible, the volume is broken down into four chapters. Chapter 1 introduces the reader to the topic of computer experiments; it includes a variety of examples across many industries. Chapter 2 focuses on the task of surrogate model building and contains a mix of several different surrogate models that are used in the computer modeling and machine learning communities. Chapter 3 introduces the core concepts of Bayesian optimization and discusses unconstrained optimization. Chapter 4 moves on to constrained optimization, and showcases some of the most novel methods found in the field.This will be a useful companion to researchers and practitioners workingwith computer experiments and computer modeling. Additionally, readers with a background in machine learning but minimal background in computer experiments will find this book an interesting case study of the applicability of Bayesian optimization outside the realm of machine learning.
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Bayesian Optimization With Application to Computer Experiments
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Bayesian Optimization With Application to Computer Experiments
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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PF. Condition: New.
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Paperback. Condition: Brand New. 114 pages. 9.25x6.10x0.24 inches. In Stock.
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Bayesian Optimization with Application to Computer Experiments
Published by Springer, Berlin|Springer International Publishing|Springer, 2021
ISBN 10: 3030824578 ISBN 13: 9783030824570
Language: English
Condition: New. This book introduces readers to Bayesian optimization, highlighting advances in the field and showcasing its successful applications to computer experiments.This book introduces readers to Bayesian optimization, highlighting advances in the field and.
-
Bayesian Optimization with Application to Computer Experiments
Published by Springer Nature Switzerland AG, CH, 2021
ISBN 10: 3030824578 ISBN 13: 9783030824570
Language: English
Paperback. Condition: New. 1st ed. 2021. This book introduces readers to Bayesian optimization, highlighting advances in the field and showcasing its successful applications to computer experiments. R code is available as online supplementary material for most included examples, so that readers can better comprehend and reproduce methods. Compact and accessible, the volume is broken down into four chapters. Chapter 1 introduces the reader to the topic of computer experiments; it includes a variety of examples across many industries. Chapter 2 focuses on the task of surrogate model building and contains a mix of several different surrogate models that are used in the computer modeling and machine learning communities. Chapter 3 introduces the core concepts of Bayesian optimization and discusses unconstrained optimization. Chapter 4 moves on to constrained optimization, and showcases some of the most novel methods found in the field.This will be a useful companion to researchers and practitioners workingwith computer experiments and computer modeling. Additionally, readers with a background in machine learning but minimal background in computer experiments will find this book an interesting case study of the applicability of Bayesian optimization outside the realm of machine learning.
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Paperback. Condition: Brand New. 114 pages. 9.25x6.10x0.24 inches. In Stock. This item is printed on demand.
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Condition: New. Print on Demand.
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Condition: New. PRINT ON DEMAND.
