Optimized Bayesian Dynamic Advising: Theory and Algorithms (Advanced Information and Knowledge Processing) - Tapa blanda

 
9781447156758: Optimized Bayesian Dynamic Advising: Theory and Algorithms (Advanced Information and Knowledge Processing)
Tapa blanda
ISBN 10: 1447156757 ISBN 13: 9781447156758
Editorial: Springer, 2014

Sinopsis

A state-of-the-art research monograph providing consistent treatment of supervisory control, by one of the world’s leading groups in the area of Bayesian identification, control, and decision making.

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De la contraportada

Written by one of the world s leading groups in the area of Bayesian identification, control and decision making, this book provides the theoretical and algorithmic basis of optimized probabilistic advising.
Starting from abstract ideas and formulations, and culminating in detailed algorithms, Optimized Bayesian Dynamic Advising comprises a unified treatment of an important problem of the design of advisory systems supporting supervisors of complex processes. It introduces the theoretical and algorithmic basis of developed advising, relying on novel and powerful combination black-box modeling by dynamic mixture models and fully probabilistic dynamic optimization. The proposed non-standard problem formulation and its solution mark a significant contribution to the design of anthropocentric automation systems.
Written for a broad audience, including developers of algorithms and application engineers, researchers, lecturers and postgraduates, this book can be used as a reference tool, and an advanced text on Bayesian dynamic decision making.

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Editorial
Springer
Año de publicación
2014
Idioma
Inglés
ISBN 10 
1447156757
ISBN 13 
9781447156758
Encuadernación
Tapa blanda
Número de páginas
548
Editor
Kárný Miroslav
Contacto del fabricante
Springer Nature Customer Service Center GmbH
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Heidelberg
69115
Alemania

Otras ediciones populares con el mismo título

9781852339289: Optimized Bayesian Dynamic Advising: Theory and Algorithms (Advanced Information and Knowledge Processing)

Edición Destacada

ISBN 10:  1852339284 ISBN 13:  9781852339289
Editorial: Springer, 2005
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