Condizione: New.
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condizione: New. Relative Information: Theories and Applications. Book.
Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, DE, 2011
ISBN 10: 3642840191 ISBN 13: 9783642840197
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 66,31
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Softcover reprint of the original 1st ed. 1990.
EUR 56,74
Quantità: 10 disponibili
Aggiungi al carrelloPF. Condizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 60,28
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
EUR 59,69
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Condizione: New. pp. xxii + 258.
EUR 66,53
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Revaluation Books, Exeter, Regno Unito
EUR 79,88
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. reprint edition. 280 pages. 9.53x0.64x6.69 inches. In Stock.
Lingua: Inglese
Editore: Springer Berlin Heidelberg, 2011
ISBN 10: 3642840191 ISBN 13: 9783642840197
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 53,49
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - For four decades, information theory has been viewed almost exclusively as a theory based upon the Shannon measure of uncertainty and information, usually referred to as Shannon entropy. Since the publication of Shannon's seminal paper in 1948, the theory has grown extremely rapidly and has been applied with varied success in almost all areas of human endeavor. At this time, the Shannon information theory is a well established and developed body of knowledge. Among its most significant recent contributions have been the use of the complementary principles of minimum and maximum entropy in dealing with a variety of fundamental systems problems such as predic tive systems modelling, pattern recognition, image reconstruction, and the like. Since its inception in 1948, the Shannon theory has been viewed as a restricted information theory. It has often been argued that the theory is capable of dealing only with syntactic aspects of information, but not with its semantic and pragmatic aspects. This restriction was considered a v~rtue by some experts and a vice by others. More recently, however, various arguments have been made that the theory can be appropriately modified to account for semantic aspects of in formation as well. Some of the most convincing arguments in this regard are in cluded in Fred Dretske's Know/edge & Flow of Information (The M.LT. Press, Cambridge, Mass., 1981) and in this book by Guy lumarie.
Lingua: Inglese
Editore: Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, DE, 2011
ISBN 10: 3642840191 ISBN 13: 9783642840197
Da: Rarewaves.com UK, London, Regno Unito
EUR 61,40
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Softcover reprint of the original 1st ed. 1990.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 46,22
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Da: Majestic Books, Hounslow, Regno Unito
EUR 78,80
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. xxii + 258 Figure.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 78,99
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. xxii + 258.
Lingua: Inglese
Editore: Springer Berlin Heidelberg, 2011
ISBN 10: 3642840191 ISBN 13: 9783642840197
Da: moluna, Greven, Germania
EUR 48,37
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. For four decades, information theory has been viewed almost exclusively as a theory based upon the Shannon measure of uncertainty and information, usually referred to as Shannon entropy. Since the publication of Shannon s seminal paper in 1948, the theory h.
Lingua: Inglese
Editore: Springer, Springer Dez 2011, 2011
ISBN 10: 3642840191 ISBN 13: 9783642840197
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 53,49
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book extends the range of applications of Shannon information theory and will be invaluable to scientists interested in communication, information and thermodynamics, structure and complexity, self-organization, pattern formation and recognition, statistics and fuzzy set theory.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 284 pp. Englisch.
Lingua: Inglese
Editore: Springer Berlin Heidelberg Dez 2011, 2011
ISBN 10: 3642840191 ISBN 13: 9783642840197
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 96,29
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -For four decades, information theory has been viewed almost exclusively as a theory based upon the Shannon measure of uncertainty and information, usually referred to as Shannon entropy. Since the publication of Shannon's seminal paper in 1948, the theory has grown extremely rapidly and has been applied with varied success in almost all areas of human endeavor. At this time, the Shannon information theory is a well established and developed body of knowledge. Among its most significant recent contributions have been the use of the complementary principles of minimum and maximum entropy in dealing with a variety of fundamental systems problems such as predic tive systems modelling, pattern recognition, image reconstruction, and the like. Since its inception in 1948, the Shannon theory has been viewed as a restricted information theory. It has often been argued that the theory is capable of dealing only with syntactic aspects of information, but not with its semantic and pragmatic aspects. This restriction was considered a v~rtue by some experts and a vice by others. More recently, however, various arguments have been made that the theory can be appropriately modified to account for semantic aspects of in formation as well. Some of the most convincing arguments in this regard are in cluded in Fred Dretske's Know/edge & Flow of Information (The M.LT. Press, Cambridge, Mass., 1981) and in this book by Guy lumarie. 284 pp. Englisch.