From the reviews: "Bioinformaticians are facing the challenge of how to handle immense amounts of raw data, [...] and render them accessible to scientists working on a wide variety of problems. [This book] can be such a tool." IEEE Engineering in Medicine and Biology
"Sinopsis" puede pertenecer a otra edición de este libro.
This book is an introduction to the mathematical description of information in science and engineering. The necessary mathematical theory will be treated in a more vivid way than in the usual theorem-proof structure. This enables the reader to develop an idea of the connections between different information measures and to understand the trains of thoughts in their derivation. As there exist a great number of different possible ways to describe information, these measures are presented in a coherent manner. Some examples of the information measures examined are: Shannon information, applied in coding theory; Akaike information criterion, used in system identification to determine auto-regressive models and in neural networks to identify the number of neu-rons; and Cramer-Rao bound or Fisher information, describing the minimal variances achieved by unbiased estimators. This softcover edition addresses researchers and students in electrical engineering, particularly in control and communications, physics, and applied mathematics.
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Destinos, gastos y plazos de envíoLibrería: Majestic Books, Hounslow, Reino Unido
Condición: New. pp. 572 Illus. Nº de ref. del artículo: 5835320
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Librería: Books Puddle, New York, NY, Estados Unidos de America
Condición: New. pp. 572. Nº de ref. del artículo: 263061223
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
Condición: New. pp. 572. Nº de ref. del artículo: 183061229
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Librería: Antiquariat Bläschke, Darmstadt, Alemania
Pp. Condición: Wie neu. XIX, 547 S. : graph. Darst. ; 24 cm Neuwertig. Sprache: Englisch Gewicht in Gramm: 1100. Nº de ref. del artículo: 43648
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Librería: moluna, Greven, Alemania
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. As a survey of information measures this book can serve as an introduction to information theoryWritten for non-mathematicians, i.e. engineers and scientistsRelevant for many established and novel applications in Science, Communications,. Nº de ref. del artículo: 4889346
Cantidad disponible: Más de 20 disponibles
Librería: BennettBooksLtd, North Las Vegas, NV, Estados Unidos de America
hardcover. Condición: New. In shrink wrap. Looks like an interesting title! Nº de ref. del artículo: Q-3540416331
Cantidad disponible: 1 disponibles
Librería: BennettBooksLtd, North Las Vegas, NV, Estados Unidos de America
hardcover. Condición: New. In shrink wrap. Looks like an interesting title! Nº de ref. del artículo: SL-3540416331
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -From the reviews: 'Bioinformaticians are facing the challenge of how to handle immense amounts of raw data, [.] and render them accessible to scientists working on a wide variety of problems. [This book] can be such a tool.' IEEE Engineering in Medicine and Biology 572 pp. Englisch. Nº de ref. del artículo: 9783540416333
Cantidad disponible: 2 disponibles
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is intended to be an introduction to the mathematical description of information in science. The necessary mathematical theory of this introduction will be treated in a more vivid way than in the usual theorem-proof structure. This, however, enables us to develop an idea of the connections between different information measures and to understand the trains of thought in their derivation, which is a crucial point for correct applications. It is therefore our intention in the mathematical descriptions to evolve the important ideas of the derivations, so that we obtain the resulting functions as well as the main thoughts and the conditions for the validity of the result. This simplifies the handling of the information measures, which are sometimes hard to classify without any additional background information. Though the mathematical descriptions are the exact formulations of the measures examined, we do not restrict ourselves to rigorous mathematical considerations, but we will also integrate the different measures into the structure and context of possible information measures. Nevertheless the mathematical approach is unavoidable when we are looking for an objective description and for possible applications in optimization. Nº de ref. del artículo: 9783540416333
Cantidad disponible: 1 disponibles
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Condición: New. In. Nº de ref. del artículo: ria9783540416333_new
Cantidad disponible: Más de 20 disponibles