Uncertainty-Based Information, George J. Klir; Mark J. Wierman
Автор: Cover, T.m. Thomas, Joy A. Название: Elements of information theory ISBN: 0471241954 ISBN-13(EAN): 9780471241959 Издательство: Wiley Рейтинг: Цена: 16307.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The latest edition of this classic is updated with new problem sets and material The Second Edition of this fundamental textbook maintains the book`s tradition of clear, thought-provoking instruction. Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory.
Описание: Valuation of mortgage-backed securities requires blending empirical analysis of borrower behavior and mathematical modeling of interest rates and home prices, with recognition of various prices of risk and uncertainty. This book offers a detailed description of the sophisticated theories and advanced methods used for the real-world valuation of MBS.
Описание: <em>Theory and Practice of Cryptography Solutions for Secure Information Systems</em> explores current trends in IS security technologies, techniques, and concerns, primarily through the use of cryptographic tools to safeguard valuable information resources. This reference book serves the needs of professionals, academics, and students requiring dedicated information systems free from outside interference, as well as developers of secure IS applications. This book is part of the <em>Advances in Information Security, Privacy, and Ethics series collection</em>.
Описание: For various scientific and engineering problems, how to deal with variables and parameters of uncertain value is an important issue. Full analysis of the specific errors in measurement, observations, experiments and applications are vital in dealing with the parameters taken to simplify the problem.Mathematics of Uncertainty Modeling in the Analysis of Engineering and Science Problems aims to provide the reader with basic concepts for soft computing and other methods for various means of uncertainty in handling solutions, analysis and applications. This book is an essential reference work for students, scholars, practitioners and researchers in the assorted fields of engineering and applied mathematics interested in a model for uncertain physical problems.
Автор: Hayashi Masahito Название: Introduction to Quantum Information Science ISBN: 3662435012 ISBN-13(EAN): 9783662435014 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the basics of quantum information, e.g., foundation of quantum theory, quantum algorithms, quantum entanglement, quantum entropies, quantum coding, quantum error correction and quantum cryptography. As important quantum protocols, this book contains quantum teleportation, quantum dense coding, quantum data compression.
Автор: Roger Lee; Gongzu Hu; Huaikou Miao Название: Computer and Information Science 2009 ISBN: 3642101747 ISBN-13(EAN): 9783642101748 Издательство: Springer Рейтинг: Цена: 29209.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume includes the best papers of the IEEE/ACIS International Conference on Computer and Information Science, ICIS 2009, held on June 2009 in Shanghai, China.
Автор: Asli Celikyilmaz; I. Burhan T?rksen Название: Modeling Uncertainty with Fuzzy Logic ISBN: 3642100635 ISBN-13(EAN): 9783642100635 Издательство: Springer Рейтинг: Цена: 27251.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents an uncertainty modeling approach using a new type of fuzzy system model via "Fuzzy Functions". It also reviews standard tools of fuzzy system modeling approaches to demonstrate the novelty of the structurally different fuzzy function.
Автор: Donald Metzler Название: A Feature-Centric View of Information Retrieval ISBN: 3642270174 ISBN-13(EAN): 9783642270178 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In this work, Metzler describes highly effective information retrieval models for both smaller, classical data sets, and larger Web collections. In a shift away from heuristic, hand-tuned ranking functions and complex probabilistic models, he presents feature-based retrieval models. As he shows, combining term dependencies and arbitrary features results in a very robust, powerful retrieval model.
Автор: George J. Klir; Mark J. Wierman Название: Uncertainty-Based Information ISBN: 379082464X ISBN-13(EAN): 9783790824643 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Colleges give degrees in information science and information management. The purpose of this volume is to introduce key developments and results in the area of generalized information theory, a theory that deals with uncertainty-based information within mathematical frameworks that are broader than classical set theory and probability theory.
Автор: Bernadette Bouchon-Meunier; Ronald R. Yager; Lotfi Название: Information, Uncertainty and Fusion ISBN: 079238590X ISBN-13(EAN): 9780792385905 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: As we stand at the precipice of the twenty first century the ability to capture and transmit copious amounts of information is clearly a defining feature of the human race. The recent IPMU conference held at La Sorbonne in Paris brought together some of the world`s leading experts in uncertainty and information fusion.
Автор: Bernadette Bouchon-Meunier; Ronald R. Yager; Lotfi Название: Information, Uncertainty and Fusion ISBN: 1461373735 ISBN-13(EAN): 9781461373735 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: As we stand at the precipice of the twenty first century the ability to capture and transmit copious amounts of information is clearly a defining feature of the human race. The recent IPMU conference held at La Sorbonne in Paris brought together some of the world`s leading experts in uncertainty and information fusion.
Описание: The book offers a comprehensive and timely overview of advanced mathematical tools for both uncertainty analysis and modeling of parallel processes, with a special emphasis on intuitionistic fuzzy sets and generalized nets.
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