Statistical and Fuzzy Approaches to Data Processing, with Applications to Econometrics and Other Areas: In Honor of Hung T. Nguyen`s 75th Birthday, Kreinovich Vladik
Автор: Hung T. Nguyen; Berlin Wu Название: Fundamentals of Statistics with Fuzzy Data ISBN: 364206857X ISBN-13(EAN): 9783642068577 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Over the past decade, many researchers have proposed applications of fuzzy transform techniques for various image processing topics, such as image coding/decoding, image reduction, image segmentation, image watermarking and image fusion;
Описание: Mainly focusing on processing uncertainty, this book presents state-of-the-art techniques and demonstrates their use in applications to econometrics and other areas. Measurement uncertainty is usually described using probabilistic techniques, while uncertainty in expert estimates is often described using fuzzy techniques.
Описание: But we know precious little about human reasoning processes, learning mechanisms and the like, and in particular about reasoning with limited, imprecise knowledge. In a sense, intelligent systems are machines which use the most general form of human knowledge together with human reasoning capability to reach decisions.
Описание: But we know precious little about human reasoning processes, learning mechanisms and the like, and in particular about reasoning with limited, imprecise knowledge. In a sense, intelligent systems are machines which use the most general form of human knowledge together with human reasoning capability to reach decisions.
Preface.- Real group orbits on flag manifolds.- Complex connections with trivial holonomy.- Indefinite harmonic theory and harmonic spinors.- Twistor theory and the harmonic hull.- Nilpotent Gelfand pairs and spherical transforms of Schwartz functions, II: Taylor expansions on singular sets.- Propagation of the multiplicity-freeness property for holomorphic vector bundles.- Poisson transforms for line bundles from the Shilov boundary to bounded symmetric domains.- Cent(U(n)), cascade of orthogonal roots, and a construction of Lipsman-Wolf.- Weakly harmonic Maa forms and the principal series for SL(2, R).- Holomorphic realization of unitary representations of Banach-Lie groups.- The Segal-Bargmann transform on compact symmetric spaces and their direct limits.- Analysis on flag manifolds and Sobolev inequalities.- Boundary value problems on Riemannian symmetric spaces of noncompact type.- One step spherical functions of the pair (SU(n + 1), U(n)).- Chern-Weil theory for certain infinite-dimensional Lie groups.- On the structure of finite groups with periodic cohomology.
Описание: Chapter 1. My Career and Contributions.- Chapter 2. Understanding the Weber Location Paradigm.- Chapter 3. A general framework for local search applied to the continuous p-median problem.- Chapter 4. Big Triangle Small Triangle Method for the Weber Problem on the Sphere.- Chapter 5. Integer Location Problems.- Chapter 6. Continuous Location Problems.- Chapter 7. Voting for locating facilities: The wisdom of voters.- Chapter 8. Innovations in Statistical Analysis and Genetic Algorithms.- Chapter 9. Hub Location and Related Models.- Chapter 10. Gravity Models in Competitive Facility Location.- Chapter 11. Cover-Based Competitive Location Models.- Chapter 12. The Mean-Value-at-Risk Median Problem on a Network with Random Demand Weights.- Chapter 13. A Bivariate Exponential Distribution.
Автор: Vershynin, Roman (university Of Michigan, Ann Arbor) Название: Cambridge series in statistical and probabilistic mathematics ISBN: 1108415199 ISBN-13(EAN): 9781108415194 Издательство: Cambridge Academ Рейтинг: Цена: 9029.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The data sciences are moving fast, and probabilistic methods are both the foundation and a driver. This highly motivated text brings beginners up to speed quickly and provides working data scientists with powerful new tools. Ideal for a basic second course in probability with a view to data science applications, it is also suitable for self-study.
Описание: Over the past decade, many researchers have proposed applications of fuzzy transform techniques for various image processing topics, such as image coding/decoding, image reduction, image segmentation, image watermarking and image fusion;
Описание: Presents research on the incorporation of digital image processing within the IoT field. While highlighting topics such as energy-efficient routing, machine learning, and cryptography, this publication addresses the challenges of transmitting image data and explores further applications of sensor networks.
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