Описание: Maximum entropy and Bayesian methods have fundamental, central roles in scientific inference. This volume contains papers presented at the Thirteenth International Workshop on Maximum Entropy and Bayesian Methods. It includes a section, and contributions detailing application in the physical sciences, engineering, law, and economics.
Автор: Imre Csisz?r; Gyula O.H. Katona; Gabor Tardos Название: Entropy, Search, Complexity ISBN: 3642068995 ISBN-13(EAN): 9783642068997 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book collects survey papers in the fields of entropy, search and complexity, summarizing the latest developments in their respective areas. More than half of the papers belong to search theory which lies on the borderline of mathematics and computer science, information theory and combinatorics, respectively.
Автор: C.R. Smith; W.T. Grandy Jr. Название: Maximum-Entropy and Bayesian Methods in Inverse Problems ISBN: 9027720746 ISBN-13(EAN): 9789027720740 Издательство: Springer Рейтинг: Цена: 27944.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume contains the text of the twenty-five papers presented at two workshops entitled Maximum-Entropy and Bayesian Methods in Applied Statistics, which were held at the University of Wyoming from June 8 to 10, 1981, and from August 9 to 11, 1982.
Автор: Shu-Cherng Fang; J.R. Rajasekera; H.S.J. Tsao Название: Entropy Optimization and Mathematical Programming ISBN: 0792399390 ISBN-13(EAN): 9780792399391 Издательство: Springer Рейтинг: Цена: 30606.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Entropy optimization is a useful combination of classical engineering theory (entropy) with mathematical optimization. A systematic presentation with proper mathematical treatment of this material is needed in all application areas. The purpose of this book is to meet this need.
Автор: Wolfgang von der Linden; Volker Dose; Rainer Fisch Название: Maximum Entropy and Bayesian Methods Garching, Germany 1998 ISBN: 0792357663 ISBN-13(EAN): 9780792357667 Издательство: Springer Рейтинг: Цена: 27245.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Taken from the 1998 MaxEnt conference, this work contains a range of applications of Bayesian probability theory and maximum entropy methods to problems of concern in such fields as physics, image processing, coding theory, machine learning, economics, data analysis and various other problems.
Автор: G. Erickson; Joshua T. Rychert; C.R. Smith Название: Maximum Entropy and Bayesian Methods ISBN: 0792350472 ISBN-13(EAN): 9780792350477 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Contains a range of applications of Bayesian statistics and maximum entropy methods to problems of concern in such fields as image processing, coding theory, machine learning, economics, data analysis and other problems. This text is intended for researchers in applied statistics, information theory, coding theory, image and signal processing.
Автор: C.R. Smith; G. Erickson; Paul O. Neudorfer Название: Maximum Entropy and Bayesian Methods ISBN: 079232031X ISBN-13(EAN): 9780792320319 Издательство: Springer Рейтинг: Цена: 37874.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Bayesian probability theory and maximum entropy methods are at the core of a view of scientific inference. This volume records the Proceedings of Eleventh Annual `Maximum Entropy` Workshop, held at Seattle University in June, 1991.
Автор: John Skilling Название: Maximum Entropy and Bayesian Methods ISBN: 0792302249 ISBN-13(EAN): 9780792302247 Издательство: Springer Рейтинг: Цена: 41647.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Robert M. Gray Название: Entropy and Information Theory ISBN: 1489981322 ISBN-13(EAN): 9781489981325 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This fully updated new edition of the classic work on information theory presents a detailed analysis of Shannon-source and channel-coding theorems, before moving on to address sources, channels, codes and the properties of information and distortion measures.
Автор: Joaquim P. Marques de S?; Lu?s M.A. Silva; Jorge M Название: Minimum Error Entropy Classification ISBN: 3642437427 ISBN-13(EAN): 9783642437427 Издательство: Springer Рейтинг: Цена: 16977.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explains the minimum error entropy (MEE) concept applied to data classification machines. Discusses theoretical results, offers a clustering algorithm using a MEE-like concept, and includes tests, evaluation experiments and comparative applications.
Автор: Terry Bossomaier; Lionel Barnett; Michael Harr?; J Название: An Introduction to Transfer Entropy ISBN: 3319432214 ISBN-13(EAN): 9783319432212 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book considers a relatively new metric in complex systems, transfer entropy, derived from a series of measurements, usually a time series. After a qualitative introduction and a chapter that explains the key ideas from statistics required to understand the text, the authors then present information theory and transfer entropy in depth. A key feature of the approach is the authors' work to show the relationship between information flow and complexity. The later chapters demonstrate information transfer in canonical systems, and applications, for example in neuroscience and in finance.The book will be of value to advanced undergraduate and graduate students and researchers in the areas of computer science, neuroscience, physics, and engineering.
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