Bayesian Optimization and Data Science (SpringerBriefs in Optimization) - Tapa blanda

Archetti, Francesco; Candelieri, Antonio

 
9783030244934: Bayesian Optimization and Data Science (SpringerBriefs in Optimization)
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ISBN 10: 3030244938 ISBN 13: 9783030244934
Editorial: Springer, 2019

Sinopsis

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, new methods have been specialized to solve emerging problems from machine learning, artificial intelligence, and system optimization. It also analyzes the software resources available for BO and a few selected application areas. Some areas for which new results are shown include constrained optimization, safe optimization, and applied mathematics, specifically BO's use in solving difficult nonlinear mixed integer problems. 

The book will help bring readers to a full understanding of the basic Bayesian Optimization framework and gain an appreciation of its potential for emerging application areas. It will be of particular interest to the data science, computer science, optimization, and engineering communities.


"Sinopsis" puede pertenecer a otra edición de este libro.

De la contraportada

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, new methods have been specialized to solve emerging problems from machine learning, artificial intelligence, and system optimization. It also analyzes the software resources available for BO and a few selected application areas. Some areas for which new results are shown include constrained optimization, safe optimization, and applied mathematics, specifically BO's use in solving difficult nonlinear mixed integer problems. 

The book will help bring readers to a full understanding of the basic Bayesian Optimization framework and gain an appreciation of its potential for emerging application areas. It will be of particular interest to the data science, computer science, optimization, and engineering communities.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2019
Idioma
Inglés
ISBN 10 
3030244938
ISBN 13 
9783030244934
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
140
Contacto del fabricante
no disponible
Persona responsable
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Hamburg
Alemania

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Editorial: Springer, 2019
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