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Bayesian optimization with application to computer experiments

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서명/저자사항Bayesian optimization with application to computer experiments / Tony Pourmohamad, Herbert K.H. Lee.
개인저자Pourmohamad, Tony, author.
Lee, Herbert K. H., author.
발행사항Cham, Switzerland: Springer, [2021]
형태사항x, 104 p. ; 24 cm
총서사항SpringerBriefs in statistics
ISBN9783030824570
3030824578
서지주기Includes bibliographical references.
내용주기1. Computer experiments -- 2. Surrogate models -- 3. Unconstrained optimization -- 4. Constrained optimization.
요약This 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 working with 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.
일반주제명Experimental design.
Computer science --Experiments.
Bayesian statistical decision theory.
Research Design
Plan d'expérience.
Informatique --Expériences.
Théorie de la décision bayésienne.
Bayesian statistical decision theory.
Computer science --Experiments.
Experimental design.
분류기호(DDC)519.5
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