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Aggiungi al carrelloPaperback. Condizione: Brand New. 447 pages. 6.14x0.91x9.21 inches. In Stock.
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Aggiungi al carrelloGebundene Ausgabe. 532 Seiten Einband berieben und lichtrandig, Besitzerstempel, sonst sauber und gut erhalten. Sprache: Englisch Gewicht in Gramm: 1238.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Dynamics of Information Systems | 8th International Conference, DIS 2025, London, UK, June 1-5, 2025, Revised Selected Papers | Hossein Moosaei (u. a.) | Taschenbuch | xi | Englisch | 2026 | Springer | EAN 9783032164681 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer, Palgrave Macmillan, 2026
ISBN 10: 3032164680 ISBN 13: 9783032164681
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This post conference LNCS volume constitutes the proceedings of the 8th International Conference on Dynamics of Information Systems, DIS 2025, in London, UK, took place in June 2025.The 26 full papers presented in this volume were carefully reviewed and selected from 55 submissions.They are grouped into the following topics: Information Systems & Networks; Optimization & Operations Research; Artificial Intelligence & Machine Learning; Applications in Healthcare, Security & Society.
Lingua: Inglese
Editore: Springer Nature Switzerland AG, CH, 2020
ISBN 10: 3030228320 ISBN 13: 9783030228323
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Aggiungi al carrelloHardback. Condizione: New. 2020 ed.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Theory of Information and its Value | Ruslan L. Stratonovich | Taschenbuch | xxii | Englisch | 2021 | Springer | EAN 9783030228354 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Aggiungi al carrelloHardcover. Condizione: Brand New. 444 pages. 9.25x6.10x1.22 inches. In Stock.
Lingua: Inglese
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ISBN 10: 3030228355 ISBN 13: 9783030228354
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 128,39
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This English version of Ruslan L. Stratonovich'sTheory of Information(1975)builds on theory and provides methods, techniques, and concepts toward utilizing critical applications. Unifying theories of information, optimization, and statistical physics, the value of information theory has gained recognition in data science, machine learning, and artificial intelligence. With the emergence of a data-driven economy, progress in machine learning, artificial intelligence algorithms, and increased computational resources, the need for comprehending information is essential. This book is even more relevant today than when it was first published in 1975. It extends the classic work of R.L. Stratonovich, one of the original developers of the symmetrized version of stochastic calculus and filtering theory, to name just two topics.Each chapter begins with basic, fundamental ideas, supported by clear examples; the material then advances to great detail and depth. The reader is not required to be familiar with the more difficult and specific material. Rather, the treasure trove of examples of stochastic processes and problems makes this book accessible to a wide readership of researchers, postgraduates, and undergraduate students in mathematics, engineering, physics and computer science who are specializing in information theory, data analysis, or machine learning.
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This English version of Ruslan L. Stratonovich'sTheory of Information(1975)builds on theory and provides methods, techniques, and concepts toward utilizing critical applications. Unifying theories of information, optimization, and statistical physics, the value of information theory has gained recognition in data science, machine learning, and artificial intelligence. With the emergence of a data-driven economy, progress in machine learning, artificial intelligence algorithms, and increased computational resources, the need for comprehending information is essential. This book is even more relevant today than when it was first published in 1975. It extends the classic work of R.L. Stratonovich, one of the original developers of the symmetrized version of stochastic calculus and filtering theory, to name just two topics.Each chapter begins with basic, fundamental ideas, supported by clear examples; the material then advances to great detail and depth. The reader is not required to be familiar with the more difficult and specific material. Rather, the treasure trove of examples of stochastic processes and problems makes this book accessible to a wide readership of researchers, postgraduates, and undergraduate students in mathematics, engineering, physics and computer science who are specializing in information theory, data analysis, or machine learning.