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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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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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Nonlinear Estimation and Classification (Lecture Notes in Statistics (171))
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Zustand: New. *Price HAS BEEN REDUCED by 10% until Monday, Oct. 6 (sale item)* 484 pp., Paperback, NEW!! - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. Artikel-Nr. ZB1195902
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Nonlinear Estimation and Classification (Lecture Notes in Statistics, 171)
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Nonlinear Estimation and Classification
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Springer-Verlag New York Inc., 2003
ISBN 10: 0387954716
ISBN 13: 9780387954714
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Zustand: New. This book presents the latest research on analysing massive amounts of high-dimensional and highly structured data. Editor(s): Denison, D.D.; Hansen, M.; Holmes, Christopher C.; Mallick, Bani K.; Yu, Bin. Series: Lecture Notes in Statistics. Num Pages: 484 pages, biography. BIC Classification: PBKS; PBT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 23. Weight in Grams: 741. . 2003. Paperback. . . . . Books ship from the US and Ireland. Artikel-Nr. V9780387954714
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Nonlinear Estimation and Classification
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Paperback. Zustand: Brand New. 474 pages. 9.25x6.25x1.00 inches. In Stock. Artikel-Nr. x-0387954716
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Nonlinear Estimation and Classification
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Springer New York, Springer New York, 2003
ISBN 10: 0387954716
ISBN 13: 9780387954714
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Artikel-Nr. 9780387954714
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