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Books > Computing & IT > Applications of computing > Artificial intelligence

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Particle Filters for Random Set Models (Paperback, 2013 ed.) Loot Price: R4,827

Discovery Miles 48 270

Repayment Terms: R452 pm x 12*

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Particle Filters for Random Set Models (Paperback, 2013 ed.): Branko Ristic

Particle Filters for Random Set Models (Paperback, 2013 ed.)

Branko Ristic

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Loot Price R4,827 Discovery Miles 48 270 | Repayment Terms: R452 pm x 12*

Expected to ship within 10 - 15 working days

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This book discusses state estimation of stochastic dynamic systems from noisy measurements, specifically sequential Bayesian estimation and nonlinear or stochastic filtering. The class of solutions presented in this book is based on the Monte Carlo statistical method. Although the resulting algorithms, known as particle filters, have been around for more than a decade, the recent theoretical developments of sequential Bayesian estimation in the framework of random set theory have provided new opportunities which are not widely known and are covered in this book. This book is ideal for graduate students, researchers, scientists and engineers interested in Bayesian estimation.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Release date:	May 2015
Authors:	Branko Ristic
Dimensions:	235 x 155 x 10mm (L x W x T)
Format:	Paperback
Pages:	174
Edition:	2013 ed.
ISBN-13:	978-1-4899-8884-3
Categories:	Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General Promotions
LSN:	1-4899-8884-X
Barcode:	9781489988843