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Minimum Error Entropy Classification, Joaquim P. Marques de S?; Lu?s M.A. Silva; Jorge M


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Автор: Joaquim P. Marques de S?; Lu?s M.A. Silva; Jorge M
Название:  Minimum Error Entropy Classification
ISBN: 9783642437427
Издательство: Springer
Классификация:

ISBN-10: 3642437427
Обложка/Формат: Paperback
Страницы: 262
Вес: 0.39 кг.
Дата издания: 09.08.2014
Серия: Studies in Computational Intelligence
Язык: English
Размер: 234 x 156 x 15
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
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.


The Cross-Entropy Method

Автор: Reuven Y. Rubinstein; Dirk P. Kroese
Название: The Cross-Entropy Method
ISBN: 1441919406 ISBN-13(EAN): 9781441919403
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book is a comprehensive and accessible introduction to the cross-entropy (CE) method. The CE method started life around 1997 when the first author proposed an adaptive algorithm for rare-event simulation using a cross-entropy minimization technique. It was soon realized that the underlying ideas had a much wider range of application than just in rare-event simulation; they could be readily adapted to tackle quite general combinatorial and multi-extremal optimization problems, including many problems associated with the field of learning algorithms and neural computation. The book is based on an advanced undergraduate course on the CE method, given at the Israel Institute of Technology (Technion) for the last three years. It is aimed at a broad audience of engineers, computer scientists, mathematicians, statisticians and in general anyone, theorist or practitioner, who is interested in smart simulation, fast optimization, learning algorithms, image processing, etc. Our aim was to write a book on the CE method which was accessible to advanced undergraduate students and engineers who simply want to apply the CE method in their work, while at the same time accentu- ating the unifying and novel mathematical ideas behind the CE method, so as to stimulate further research at a postgraduate level.

Maximum Entropy, Information Without Probability and Complex Fractals

Автор: Guy Jumarie
Название: Maximum Entropy, Information Without Probability and Complex Fractals
ISBN: 9048154677 ISBN-13(EAN): 9789048154678
Издательство: Springer
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Цена: 19564.00 р.
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Non-equilibrium Thermodynamics and the Production of Entropy

Автор: Axel Kleidon; Ralph D. Lorenz
Название: Non-equilibrium Thermodynamics and the Production of Entropy
ISBN: 3642061354 ISBN-13(EAN): 9783642061356
Издательство: Springer
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Цена: 16977.00 р.
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Описание: Title is included in the Springer Complexity programme.

Statistical and Inductive Inference by Minimum Message Length

Автор: C.S. Wallace
Название: Statistical and Inductive Inference by Minimum Message Length
ISBN: 1441920153 ISBN-13(EAN): 9781441920157
Издательство: Springer
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Цена: 21661.00 р.
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Описание: Mythanksareduetothemanypeoplewhohaveassistedintheworkreported here and in the preparation of this book. The work is incomplete and this account of it rougher than it might be. Such virtues as it has owe much to others; the faults are all mine. MyworkleadingtothisbookbeganwhenDavidBoultonandIattempted to develop a method for intrinsic classi?cation. Given data on a sample from some population, we aimed to discover whether the population should be considered to be a mixture of di?erent types, classes or species of thing, and, if so, how many classes were present, what each class looked like, and which things in the sample belonged to which class. I saw the problem as one of Bayesian inference, but with prior probability densities replaced by discrete probabilities re?ecting the precision to which the data would allow parameters to be estimated. Boulton, however, proposed that a classi?cation of the sample was a way of brie?y encoding the data: once each class was described and each thing assigned to a class, the data for a thing would be partially implied by the characteristics of its class, and hence require little further description. After some weeks arguing our cases, we decided on the maths for each approach, and soon discovered they gave essentially the same results. Without Boulton s insight, we may never have made the connection between inference and brief encoding, which is the heart of this work."

Classification of Nuclear C*-Algebras. Entropy in Operator Algebras

Автор: M. Rordam; E. Stormer
Название: Classification of Nuclear C*-Algebras. Entropy in Operator Algebras
ISBN: 364207605X ISBN-13(EAN): 9783642076053
Издательство: Springer
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Цена: 19564.00 р.
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Описание: to the Encyclopaedia Subseries on Operator Algebras and Non-Commutative Geometry The theory of von Neumann algebras was initiated in a series of papers by Murray and von Neumann in the 1930`s and 1940`s.

Maximum Entropy and Bayesian Methods Garching, Germany 1998

Автор: Wolfgang von der Linden; Volker Dose; Rainer Fisch
Название: Maximum Entropy and Bayesian Methods Garching, Germany 1998
ISBN: 9401059829 ISBN-13(EAN): 9789401059824
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Proceedings of the 18th International Workshop on Maximum Entropy and Bayesian Methods of Statistical Analysis

Maximum Entropy and Bayesian Methods

Автор: G. Erickson; Joshua T. Rychert; C.R. Smith
Название: Maximum Entropy and Bayesian Methods
ISBN: 9401061114 ISBN-13(EAN): 9789401061117
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Proceedings of the 17th International Workshop on Maximum Entropy and Bayesian Methods of Statistical Analysis

Entropy Measures, Maximum Entropy Principle and Emerging Applications

Автор: Karmeshu
Название: Entropy Measures, Maximum Entropy Principle and Emerging Applications
ISBN: 3642055311 ISBN-13(EAN): 9783642055317
Издательство: Springer
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Цена: 30039.00 р.
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Описание: The last two decades have witnessed an enormous growth with regard to ap- plications of information theoretic framework in areas of physical, biological, engineering and even social sciences. Claude Shannon in 1948 laid the foundation of the field of information theory in the context of communication theory.

Entropy and Entropy Generation

Автор: J.S. Shiner
Название: Entropy and Entropy Generation
ISBN: 1402004168 ISBN-13(EAN): 9781402004162
Издательство: Springer
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Цена: 11179.00 р.
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Описание: Suitable for physicists, chemists, biologists and engineers, this title offers an understanding of entropy and entropy generation in both fundamental aspects and application to concrete problems. It covers such topics: as quantum thermodynamics, nonlinear processes, gravitational and irreversible thermodynamics, and more.

Maximum-Entropy Networks

Автор: Tiziano Squartini; Diego Garlaschelli
Название: Maximum-Entropy Networks
ISBN: 3319694367 ISBN-13(EAN): 9783319694368
Издательство: Springer
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Цена: 7685.00 р.
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Описание: A final chapter offers various overarching remarks and take-home messages.By requiring no prior knowledge of network theory, the book targets a broad audience ranging from PhD students approaching these topics for the first time to senior researchers interested in the application of advanced network techniques to their field.

The Maximum Entropy Method

Автор: Nailong Wu
Название: The Maximum Entropy Method
ISBN: 3642644848 ISBN-13(EAN): 9783642644849
Издательство: Springer
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Цена: 15672.00 р.
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Описание: Forty years ago, in 1957, the Principle of Maximum Entropy was first intro- duced by Jaynes into the field of statistical mechanics. As well as continuing my research in MEM after graduation, I taught a course of the same name at the Graduate School, Chinese Academy of Sciences, Beijingfrom 1987to 1990.

Holographic Entanglement Entropy

Автор: Mukund Rangamani; Tadashi Takayanagi
Название: Holographic Entanglement Entropy
ISBN: 3319525719 ISBN-13(EAN): 9783319525716
Издательство: Springer
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Цена: 6288.00 р.
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Описание: This book provides a comprehensive overview of developments in the field of holographic entanglement entropy. In the first part, the concept of entanglement, and methods for computing it, in quantum field theories is reviewed.


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