Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Condizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 59,75
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 56,88
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Springer Nature Switzerland AG, CH, 2021
ISBN 10: 3030824578 ISBN 13: 9783030824570
Lingua: Inglese
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 76,98
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 64,93
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Chiron Media, Wallingford, Regno Unito
EUR 67,78
Quantità: 10 disponibili
Aggiungi al carrelloPF. Condizione: New.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
Da: Revaluation Books, Exeter, Regno Unito
EUR 96,70
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 114 pages. 9.25x6.10x0.24 inches. In Stock.
Editore: Springer, Berlin|Springer International Publishing|Springer, 2021
ISBN 10: 3030824578 ISBN 13: 9783030824570
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 67,49
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: 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.
Editore: Springer Nature Switzerland AG, CH, 2021
ISBN 10: 3030824578 ISBN 13: 9783030824570
Lingua: Inglese
Da: Rarewaves.com UK, London, Regno Unito
EUR 69,32
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
Da: Revaluation Books, Exeter, Regno Unito
EUR 70,51
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 114 pages. 9.25x6.10x0.24 inches. In Stock. This item is printed on demand.
Da: Majestic Books, Hounslow, Regno Unito
EUR 97,61
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 97,95
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.