Recursive Nonlinear Estimation, Rudolph Kulhavy

Автор: Hanna Birke
Название: Model-Based Recursive Partitioning with Adjustment for Measurement Error
ISBN: 3658085045 ISBN-13(EAN): 9783658085049
Издательство: Springer
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Цена: 9141.00 р.
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Описание: ГЇВїВЅ Model-based recursive partitioning (MOB) provides a powerful synthesis between machine-learning inspired recursive partitioning methods and regression models.

Автор: G. Gabor; Z. Gy?rfi
Название: Recursive Source Coding
ISBN: 1461386519 ISBN-13(EAN): 9781461386513
Издательство: Springer
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Цена: 14673.00 р.
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Описание: A dialogue between theory and practice has been hindered by two pro- foundly different conceptions of a data source: practice, mostly because of speech compression considerations, favors non stationary models, while the theory deals mostly with stationary ones.

Автор: Gavin J.S. Ross
Название: Nonlinear Estimation
ISBN: 146128001X ISBN-13(EAN): 9781461280019
Издательство: Springer
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Цена: 16070.00 р.
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Описание: The book provides insights into why some models are difficult to fit, how to combine fits over different data sets, how to improve data collection to reduce prediction variance, and how to program particular models to handle a full range of data sets.

Автор: David D. Denison; Mark H. Hansen; Christopher C. H
Название: Nonlinear Estimation and Classification
ISBN: 0387954716 ISBN-13(EAN): 9780387954714
Издательство: Springer
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Цена: 12157.00 р.
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Описание: 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.