Description: Bayesian Optimization With Application to Computer Experiments, Paperback by Pourmohamad, Tony; Lee, Herbert K. H., ISBN 3030824578, ISBN-13 9783030824570, Like New Used, Free shipping in the US
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 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.Price: 75.54 USD
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Book Title: Bayesian Optimization With Application to Computer Experiments
Number of Pages: X, 104 Pages
Publication Name: Bayesian Optimization with Application to Computer Experiments
Language: English
Publisher: Springer International Publishing A&G
Subject: Probability & Statistics / General, Intelligence (Ai) & Semantics, Probability & Statistics / Bayesian Analysis
Publication Year: 2021
Item Weight: 6.7 Oz
Type: Textbook
Subject Area: Mathematics, Computers
Author: Tony Pourmohamad, Herbert Lee
Item Length: 9.3 in
Item Width: 6.1 in
Series: Springerbriefs in Statistics Ser.
Format: Trade Paperback
