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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.
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.
Gives readers an idea of the potential of the application of Bayesian Optimization to both traditional feels and emerging ones
Provides full and updated coverage of the areas of constrained Bayesian Optimization and Safe Bayesian Optimization
Covers software resources, allowing readers to make informed and educated choices among the different platforms available to set up Bayesian Optimization components in academic and industrial activities
Allows a full understanding of the basic algorithmic framework, including recent proposals about acquisition functions
Erscheinungsjahr: | 2019 |
---|---|
Fachbereich: | Allgemeines |
Genre: | Mathematik, Medizin, Naturwissenschaften, Technik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: |
xiii
126 S. 13 s/w Illustr. 39 farbige Illustr. 126 p. 52 illus. 39 illus. in color. |
ISBN-13: | 9783030244934 |
ISBN-10: | 3030244938 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: |
Candelieri, Antonio
Archetti, Francesco |
Auflage: | 1st edition 2019 |
Hersteller: | Springer International Publishing |
Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
Maße: | 235 x 155 x 8 mm |
Von/Mit: | Antonio Candelieri (u. a.) |
Erscheinungsdatum: | 07.10.2019 |
Gewicht: | 0,224 kg |
Gives readers an idea of the potential of the application of Bayesian Optimization to both traditional feels and emerging ones
Provides full and updated coverage of the areas of constrained Bayesian Optimization and Safe Bayesian Optimization
Covers software resources, allowing readers to make informed and educated choices among the different platforms available to set up Bayesian Optimization components in academic and industrial activities
Allows a full understanding of the basic algorithmic framework, including recent proposals about acquisition functions
Erscheinungsjahr: | 2019 |
---|---|
Fachbereich: | Allgemeines |
Genre: | Mathematik, Medizin, Naturwissenschaften, Technik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: |
xiii
126 S. 13 s/w Illustr. 39 farbige Illustr. 126 p. 52 illus. 39 illus. in color. |
ISBN-13: | 9783030244934 |
ISBN-10: | 3030244938 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: |
Candelieri, Antonio
Archetti, Francesco |
Auflage: | 1st edition 2019 |
Hersteller: | Springer International Publishing |
Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
Maße: | 235 x 155 x 8 mm |
Von/Mit: | Antonio Candelieri (u. a.) |
Erscheinungsdatum: | 07.10.2019 |
Gewicht: | 0,224 kg |