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Titlebook: Complexity in Information Theory; Yaser S. Abu-Mostafa Book 1988 Springer-Verlag New York Inc. 1988 communication.complexity.complexity th

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書目名稱Complexity in Information Theory
編輯Yaser S. Abu-Mostafa
視頻videohttp://file.papertrans.cn/232/231687/231687.mp4
圖書封面Titlebook: Complexity in Information Theory;  Yaser S. Abu-Mostafa Book 1988 Springer-Verlag New York Inc. 1988 communication.complexity.complexity th
描述The means and ends of information theory and computational complexity have grown significantly closer over the past decade. Common analytic tools, such as combinatorial mathematics and information flow arguments, have been the cornerstone of VLSl complexity and cooperative computation. The basic assumption of limited computing resources is the premise for cryptography, where the distinction is made between available information and accessible information. Numerous other examples of common goals and tools between the two disciplines have shaped a new research category of ‘information and complexity theory‘. This volume is intended to expose to the research community some of the recent significant topics along this theme. The contributions selected here are all very basic, presently active, fairly well-established, and stimulating for substantial follow-ups. This is not an encyclopedia on the subject, it is concerned only with timely contributions of sufficient coherence and promise. The styles of the six chapters cover a wide spectrum from specific mathematical results to surveys of large areas. It is hoped that the technical content and theme of this volume will help establish this
出版日期Book 1988
關(guān)鍵詞communication; complexity; complexity theory; cryptography; information; information theory; learning; line
版次1
doihttps://doi.org/10.1007/978-1-4612-3774-7
isbn_softcover978-1-4612-8344-7
isbn_ebook978-1-4612-3774-7
copyrightSpringer-Verlag New York Inc. 1988
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Nonlinear Time Series: Models and Simulationdynamics. A large class of computational problems describable as optimizations can be mapped onto such networks. While the networks can be used to make binary decisions, during the decision process they transit the interior of a logical space of which only the boundaries have defined logical meaning.
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Collective Computation, Content-Adressable Memory, and Optimization Problems,dynamics. A large class of computational problems describable as optimizations can be mapped onto such networks. While the networks can be used to make binary decisions, during the decision process they transit the interior of a logical space of which only the boundaries have defined logical meaning.
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Local & Nonparametric Regressionation?’ Can we combine two very successful theories, namely, Information Theory and Computational Complexity Theory, to capture the notion of accessible information? In this chapter, we will give an exposition of a new information theory along this line and examine its applications in cryptography.
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tools, such as combinatorial mathematics and information flow arguments, have been the cornerstone of VLSl complexity and cooperative computation. The basic assumption of limited computing resources is the premise for cryptography, where the distinction is made between available information and acce
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