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Bayesian Optimization
SPAR
kr 60
Bayesian Optimization
Bayesian optimization is a methodology for optimizing expensive objective functions that has proven success in the sciences, engineering, and beyond. This timely text provides a self-contained and comprehensive introduction to the subject, starting from scratch and carefully developing all the key ideas along the way. This bottom-up approach illuminates unifying themes in the design of Bayesian optimization algorithms and builds a solid theoretical foundation for approaching novel situations. The core of the book is divided into three main parts, covering theoretical and practical aspects of Gaussian process modeling, the Bayesian approach to sequential decision making, and the realization and computation of practical and effective optimization policies. Following this foundational material, the book provides an overview of theoretical convergence results, a survey of notable extensions, a comprehensive history of Bayesian optimization, and an extensive annotated bibliography of applications.
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Bayesian optimization is a methodology for optimizing expensive objective functions that has proven success in the sciences, engineering, and beyond. This timely text provides a self-contained and comprehensive introduction to the subject, starting from scratch and carefully developing all the key ideas along the way. This bottom-up approach illuminates unifying themes in the design of Bayesian optimization algorithms and builds a solid theoretical foundation for approaching novel situations. The core of the book is divided into three main parts, covering theoretical and practical aspects of Gaussian process modeling, the Bayesian approach to sequential decision making, and the realization and computation of practical and effective optimization policies. Following this foundational material, the book provides an overview of theoretical convergence results, a survey of notable extensions, a comprehensive history of Bayesian optimization, and an extensive annotated bibliography of applications.
Produktdetaljer
Sprog: Engelsk
Sider: 358
ISBN-13: 9781108425780
Indbinding: Hardback
Udgave:
ISBN-10: 110842578X
Kategori: Machine learning
Udg. Dato: 9 feb 2023
Længde: 24mm
Bredde: 259mm
Højde: 211mm
Oplagsdato: 9 feb 2023
Forfatter(e) Roman (Washington University in St Louis) Garnett, Roman Garnett


Kategori Machine learning


Sprog Engelsk


Indbinding Hardback


Sider 358


Udgave


Længde 24mm


Bredde 259mm


Højde 211mm

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