Nonlinear Estimation and Classification (Lecture Notes in Statistics): 171 - Brossura

Brossura

ISBN 10: 0387954716 ISBN 13: 9780387954714

Casa editrice: Springer, 2003

Riassunto

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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Contenuti

Nonlinear Classification * Approximation Theory and Signal Processing * Modeling of Complex Objects * Splines Gaussian Processes and Support Vector Machines * Case Studies * Theory * Machine Learning and Optimization * Future Directions

Dettagli dell'edizione

• Editore: Springer
• Data di pubblicazione: 2003
• Lingua: Inglese
• ISBN 10: 0387954716
• ISBN 13: 9780387954714
• Rilegatura: Copertina flessibile
• Numero di pagine: 488
• Redattore: Denison David D.
• Contatto del produttore: non disponibile
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