Robustness in Statistical Pattern Recognition, Y. Kharin

Автор: Christopher M. Bishop
Название: Pattern Recognition and Machine Learning
ISBN: 0387310738 ISBN-13(EAN): 9780387310732
Издательство: Springer
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Цена: 79190.00 T
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Описание: Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Автор: Dodson Bryan
Название: Probabilistic Design for Optimization and Robustness for Eng
ISBN: 1118796195 ISBN-13(EAN): 9781118796191
Издательство: Wiley
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Цена: 75980.00 T
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Описание: Probabilistic Design for Optimization and Robustness: * Presents the theory of modeling with variation using physical models and methods for practical applications on designs more insensitive to variation. * Provides a comprehensive guide to optimization and robustness for probabilistic design.

Автор: Antonio Robles-Kelly; Marco Loog; Battista Biggio;
Название: Structural, Syntactic, and Statistical Pattern Recognition
ISBN: 3319490540 ISBN-13(EAN): 9783319490540
Издательство: Springer
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Цена: 68950.00 T
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Описание: This book constitutes the proceedings of the Joint IAPR International Workshop on Structural Syntactic, and Statistical Pattern Recognition, S+SSPR 2016, consisting of the International Workshop on Structural and Syntactic Pattern Recognition SSPR, and the International Workshop on Statistical Techniques in Pattern Recognition, SPR.

Автор: Y. Kharin
Название: Robustness in Statistical Pattern Recognition
ISBN: 0792342674 ISBN-13(EAN): 9780792342670
Издательство: Springer
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Цена: 102480.00 T
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Описание: Focuses on the problems of robust (stable) statistical pattern recognition. This volume is intended for mathematicians, statisticians, and engineers in applied mathematics, computer science and cybernetics. It is also useful as a textbook for a one-semester course for advanced undergraduate and graduate students training in the indicated fields.

Автор: Yuriy Kharin
Название: Robustness in Statistical Forecasting
ISBN: 3319345680 ISBN-13(EAN): 9783319345680
Издательство: Springer
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Цена: 97820.00 T
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Описание: This book examines robustness of time series forecasting. It evaluates sensitivity of the forecast risks to distortions and presents new robust forecasting procedures.

Автор: Dieter Rasch; Moti Lal Tiku
Название: Robustness of Statistical Methods and Nonparametric Statistics
ISBN: 9400965303 ISBN-13(EAN): 9789400965300
Издательство: Springer
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Цена: 74490.00 T
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Автор: Yuriy Kharin
Название: Robustness in Statistical Forecasting
ISBN: 3319008390 ISBN-13(EAN): 9783319008394
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book examines robustness of time series forecasting. It evaluates sensitivity of the forecast risks to distortions and presents new robust forecasting procedures.

Автор: Claudia Becker; Roland Fried; Sonja Kuhnt
Название: Robustness and Complex Data Structures
ISBN: 3642443869 ISBN-13(EAN): 9783642443862
Издательство: Springer
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Цена: 102480.00 T
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Описание: Presented in honor of Ursula Gather`s 60th birthday this book deals with modern topics in the field of robust statistical methods, especially for time series and regression analysis, and with statistical methods for complex data structures.

Автор: Marat Ibragimov; Rustam Ibragimov; Johan Walden
Название: Heavy-Tailed Distributions and Robustness in Economics and Finance
ISBN: 3319168762 ISBN-13(EAN): 9783319168760
Издательство: Springer
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Цена: 65210.00 T
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Описание: This book focuses on general frameworks for modeling heavy-tailed distributions in economics, finance, econometrics, statistics, risk management and insurance. These results motivate the development and applications of robust inference approaches under heavy tails, heterogeneity and dependence in observations.

Автор: V.M. Kuntzevich; M.M. Lychak
Название: Guaranteed Estimates, Adaptation and Robustness in Control Systems
ISBN: 3540549250 ISBN-13(EAN): 9783540549253
Издательство: Springer
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Цена: 81050.00 T
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Описание: The book is concerned with the problems of dynamic systemscontrol in conditions of uncertainty caused by the lack ofadequate a priori data on control objects` properties. The appearance offurther unimprovable estimates causes the necessity to refu-se the use of adaptive control and to turn to the robustcontrol.

Автор: Graziano Chesi; Andrea Garulli; Alberto Tesi; Anto
Название: Homogeneous Polynomial Forms for Robustness Analysis of Uncertain Systems
ISBN: 1848827806 ISBN-13(EAN): 9781848827806
Издательство: Springer
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Цена: 111790.00 T
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Описание: This book presents a number of techniques for robustness analysis of uncertain systems. In it, convex relaxations for several robustness problems are derived by exploiting and providing new results on the theory of homogenous polynomial forms.

Автор: Jean-Claude Junqua; Gertjan van Noord
Название: Robustness in Language and Speech Technology
ISBN: 9048156432 ISBN-13(EAN): 9789048156436
Издательство: Springer
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Цена: 139750.00 T
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Описание: In this book we address robustness issues at the speech recognition and natural language parsing levels, with a focus on feature extraction and noise robust recognition, adaptive systems, language modeling, parsing, and natural language understanding.