Bayesian Optimization with Application to Computer Experiments by Tony Pourmoham
77,90 €
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.
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