Springer Verlag; London, 2006. Hardcover. A Near Fine, binding firm, interior and extremities tidy, book appears unread, trace handling marks, mild crimping bottom spine edge, small and faint smudge mark on fore-edge, CD-ROM included in un-opened plastic pocket affirmed to rear pastedown, scratch mark mid rear board, without Dust wrapper. A nice, clean and unmarked copy. 8vo[octavo or approx. 6 x 9 inches], 529pp., references, indexed. We pack securely and ship daily with delivery confirmation on every book. The picture on the listing page is of the actual book for sale. Additional Scan(s) are available for any item, please inquire.Please note: Oversized books/sets MAY require additional postage then what is quoted for 2.2lb book.

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Detalles bibliogr�ficos

T�tulo

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

Editor

Springer

Fecha de publicaci�n

2006

Idioma

Ingl�s

ISBN 10

1852339284

ISBN 13

9781852339289

Encuadernaci�n

hardcover

Estado

As New

Cat�logos de vendedores

Math Text Books

Acerca de

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.

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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Descripci�n de la librer�a

Independent online booksellers since 1994, we carry a nice selection of general stock with an emphasis on modern first editions, higher math science titles with a strong selection of cornerstone quantum, astro and celestial mechanic titles all in collectible condition, family genealogies, town and county history, military and firearm books. We also publish and offer on ABE a line of mystery/crime letterpress broadsides, original short short stories by today's finest authors, signed & limited and illustrated by woodcuts.

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Informaci�n empresarial del vendedor

Lavendier Books
RI, U.S.A.

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