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Publicado por Springer, 2003
ISBN 10: 3540002421ISBN 13: 9783540002420
Librería: booksXpress, Bayonne, NJ, Estados Unidos de America
Libro
Hardcover. Condición: new.
Publicado por Springer, 2010
ISBN 10: 3642055311ISBN 13: 9783642055317
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
Libro
Condición: New.
Publicado por Springer, 2003
ISBN 10: 3540002421ISBN 13: 9783540002420
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
Libro
Condición: New.
Publicado por Springer Berlin Heidelberg, 2003
ISBN 10: 3540002421ISBN 13: 9783540002420
Librería: moluna, Greven, Alemania
Libro Impresión bajo demanda
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Festschrift by invited eminent scholars in the field of entropy measures and maximum entropy applicationsImportant contributions in the wide field of information technology, soft computing, and nonlinear systems The last two decades have witn.
Publicado por Springer Berlin Heidelberg, 2010
ISBN 10: 3642055311ISBN 13: 9783642055317
Librería: moluna, Greven, Alemania
Libro Impresión bajo demanda
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Festschrift by invited eminent scholars in the field of entropy measures and maximum entropy applicationsImportant contributions in the wide field of information technology, soft computing, and nonlinear systems The last two decades have witn.
Publicado por Springer Berlin Heidelberg Mrz 2003, 2003
ISBN 10: 3540002421ISBN 13: 9783540002420
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Libro Impresión bajo demanda
Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. In particular, growth has been spectac ular in the field of information technology,soft computing,nonlinear systems and molecular biology. Claude Shannon in 1948 laid the foundation of the field of information theory in the context of communication theory. It is in deed remarkable that his framework is as relevant today as was when he 1 proposed it. Shannon died on Feb 24, 2001. Arun Netravali observes 'As if assuming that inexpensive, high-speed processing would come to pass, Shan non figured out the upper limits on communication rates. First in telephone channels, then in optical communications, and now in wireless, Shannon has had the utmost value in defining the engineering limits we face'. Shannon introduced the concept of entropy. The notable feature of the entropy frame work is that it enables quantification of uncertainty present in a system. In many realistic situations one is confronted only with partial or incomplete information in the form of moment, or bounds on these values etc. ; and it is then required to construct a probabilistic model from this partial information. In such situations, the principle of maximum entropy provides a rational ba sis for constructing a probabilistic model. It is thus necessary and important to keep track of advances in the applications of maximum entropy principle to ever expanding areas of knowledge. 308 pp. Englisch.
Publicado por Springer Berlin Heidelberg Dez 2010, 2010
ISBN 10: 3642055311ISBN 13: 9783642055317
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Libro Impresión bajo demanda
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. In particular, growth has been spectac ular in the field of information technology,soft computing,nonlinear systems and molecular biology. Claude Shannon in 1948 laid the foundation of the field of information theory in the context of communication theory. It is in deed remarkable that his framework is as relevant today as was when he 1 proposed it. Shannon died on Feb 24, 2001. Arun Netravali observes 'As if assuming that inexpensive, high-speed processing would come to pass, Shan non figured out the upper limits on communication rates. First in telephone channels, then in optical communications, and now in wireless, Shannon has had the utmost value in defining the engineering limits we face'. Shannon introduced the concept of entropy. The notable feature of the entropy frame work is that it enables quantification of uncertainty present in a system. In many realistic situations one is confronted only with partial or incomplete information in the form of moment, or bounds on these values etc. ; and it is then required to construct a probabilistic model from this partial information. In such situations, the principle of maximum entropy provides a rational ba sis for constructing a probabilistic model. It is thus necessary and important to keep track of advances in the applications of maximum entropy principle to ever expanding areas of knowledge. 308 pp. Englisch.
Publicado por Springer, 2010
ISBN 10: 3642055311ISBN 13: 9783642055317
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Libro Impresión bajo demanda
Condición: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Publicado por Springer, 2003
ISBN 10: 3540002421ISBN 13: 9783540002420
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Libro Impresión bajo demanda
Condición: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Publicado por Springer Berlin Heidelberg, 2003
ISBN 10: 3540002421ISBN 13: 9783540002420
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Libro
Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. In particular, growth has been spectac ular in the field of information technology,soft computing,nonlinear systems and molecular biology. Claude Shannon in 1948 laid the foundation of the field of information theory in the context of communication theory. It is in deed remarkable that his framework is as relevant today as was when he 1 proposed it. Shannon died on Feb 24, 2001. Arun Netravali observes 'As if assuming that inexpensive, high-speed processing would come to pass, Shan non figured out the upper limits on communication rates. First in telephone channels, then in optical communications, and now in wireless, Shannon has had the utmost value in defining the engineering limits we face'. Shannon introduced the concept of entropy. The notable feature of the entropy frame work is that it enables quantification of uncertainty present in a system. In many realistic situations one is confronted only with partial or incomplete information in the form of moment, or bounds on these values etc. ; and it is then required to construct a probabilistic model from this partial information. In such situations, the principle of maximum entropy provides a rational ba sis for constructing a probabilistic model. It is thus necessary and important to keep track of advances in the applications of maximum entropy principle to ever expanding areas of knowledge.
Publicado por Springer Berlin Heidelberg, 2010
ISBN 10: 3642055311ISBN 13: 9783642055317
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Libro
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. In particular, growth has been spectac ular in the field of information technology,soft computing,nonlinear systems and molecular biology. Claude Shannon in 1948 laid the foundation of the field of information theory in the context of communication theory. It is in deed remarkable that his framework is as relevant today as was when he 1 proposed it. Shannon died on Feb 24, 2001. Arun Netravali observes 'As if assuming that inexpensive, high-speed processing would come to pass, Shan non figured out the upper limits on communication rates. First in telephone channels, then in optical communications, and now in wireless, Shannon has had the utmost value in defining the engineering limits we face'. Shannon introduced the concept of entropy. The notable feature of the entropy frame work is that it enables quantification of uncertainty present in a system. In many realistic situations one is confronted only with partial or incomplete information in the form of moment, or bounds on these values etc. ; and it is then required to construct a probabilistic model from this partial information. In such situations, the principle of maximum entropy provides a rational ba sis for constructing a probabilistic model. It is thus necessary and important to keep track of advances in the applications of maximum entropy principle to ever expanding areas of knowledge.
Publicado por Springer, 2010
ISBN 10: 3642055311ISBN 13: 9783642055317
Librería: Books Puddle, New York, NY, Estados Unidos de America
Libro
Condición: New. pp. 308.
Publicado por Springer, 2010
ISBN 10: 3642055311ISBN 13: 9783642055317
Librería: Majestic Books, Hounslow, Reino Unido
Libro Impresión bajo demanda
Condición: New. Print on Demand pp. 308 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
Publicado por Springer, 2010
ISBN 10: 3642055311ISBN 13: 9783642055317
Librería: Mispah books, Redhill, SURRE, Reino Unido
Libro
Paperback. Condición: Like New. Like New. book.
Publicado por Springer, 2003
ISBN 10: 3540002421ISBN 13: 9783540002420
Librería: dsmbooks, Liverpool, Reino Unido
Libro
Hardcover. Condición: Like New. Like New. book.