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Accessible to a variety of readers, this book is of interest to specialists, graduate students and researchers in mathematics, optimization, computer science, o

This book examines the main methodological and theoretical developments in stochastic global optimization. It is designed to inspire readers to explore various

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This monograph reviews different methods to design or learn valid kernel functions for multiple outputs, paying particular attention to the connection between p

This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing sys