8vo, paperback. Vg+ condition. 2 non-circulating ex-lib stamps & label on 2 early pgs (only markings), contents bright, crisp & clean, unread. vii, 474 p.

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Detalles bibliogr�ficos

T�tulo: Nonlinear Estimation and Classification [Lecture Notes in Statistics 171]
Editor: Springer, New York.
Fecha de publicaci�n: 2003
Idioma: Ingl�s
ISBN 10: 0387954716
ISBN 13: 9780387954714
Encuadernaci�n: Paperback
Estado: Very Good

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Sinopsis

Researchers in many disciplines face the formidable task of analyzing massive amounts of high-dimensional and highly-structured data. This is due in part to recent advances in data collection and computing technologies. As a result, fundamental statistical research is being undertaken in a variety of different fields. Driven by the complexity of these new problems, and fueled by the explosion of available computer power, highly adaptive, non-linear procedures are now essential components of modern "data analysis," a term that we liberally interpret to include speech and pattern recognition, classification, data compression and signal processing. The development of new, flexible methods combines advances from many sources, including approximation theory, numerical analysis, machine learning, signal processing and statistics. The proposed workshop intends to bring together eminent experts from these fields in order to exchange ideas and forge directions for the future.

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