Hierarchical Bayesian Optimization Algorithm
Language: en
Pages: 194
Authors: Martin Pelikan
Categories: Computers
Type: BOOK - Published: 2005-02 - Publisher: Springer Science & Business Media

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This book provides a framework for the design of competent optimization techniques by combining advanced evolutionary algorithms with state-of-the-art machine l
Probability for Machine Learning
Language: en
Pages: 319
Authors: Jason Brownlee
Categories: Computers
Type: BOOK - Published: 2019-09-24 - Publisher: Machine Learning Mastery

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Probability is the bedrock of machine learning. You cannot develop a deep understanding and application of machine learning without it. Cut through the equation
Bayesian and High-Dimensional Global Optimization
Language: bg
Pages: 125
Authors: Anatoly Zhigljavsky
Categories: Mathematics
Type: BOOK - Published: 2021-03-02 - Publisher: Springer Nature

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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
Automated Machine Learning
Language: en
Pages: 223
Authors: Frank Hutter
Categories: Computers
Type: BOOK - Published: 2019-05-17 - Publisher: Springer

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This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing sys
Bayesian Optimization and Data Science
Language: en
Pages: 126
Authors: Francesco Archetti
Categories: Business & Economics
Type: BOOK - Published: 2019-10-07 - Publisher: Springer

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This volume brings together the main results in the field of Bayesian Optimization (BO), focusing on the last ten years and showing how, on the basic framework,