| 书目名称 | Theory of Information and its Value | | 编辑 | Ruslan L. Stratonovich,Roman V. Belavkin,Panos M. | | 视频video | | | 概述 | Broadens understanding of information theory and the value of information.English translation of Rouslan L. Stratonovich’s original "Theory of Information".Unifies theories of information, optimizatio | | 图书封面 |  | | 描述 | .This English version of Ruslan L. Stratonovich’s .Theory 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 | | 出版日期 | Book 2020 | | 关键词 | Rouslan Leontievich Stratonovich; Theory of Random Noise; Conditional Markov Processes; adaptive Bayesi | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-22833-0 | | isbn_softcover | 978-3-030-22835-4 | | isbn_ebook | 978-3-030-22833-0 | | copyright | Springer Nature Switzerland AG 2020 |
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发表于 2025-3-21 19:34:35
