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1. en.wikipedia.org › wiki › Information_theoryInformation theory - Wikipedia

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   19. Juni 2024 · Shannon–Hartley theorem. v. t. e. Information theory is the mathematical study of the quantification, storage, and communication of information. The field was originally established by the works of Harry Nyquist and Ralph Hartley, in the 1920s, and Claude Shannon in the 1940s.

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     Claude Shannon Explains Information Theory

     13. Feb. 2023

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     Information Theory Tutorial: Shannons Coding Theorem

     3. Apr. 2019

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     Intuitively Understanding the Shannon Entropy

     1. Sept. 2021

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3. en.wikipedia.org › wiki › Entropy_(information_theory)Entropy (information theory) - Wikipedia

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   14. Juni 2024 · The concept of information entropy was introduced by Claude Shannon in his 1948 paper "A Mathematical Theory of Communication", and is also referred to as Shannon entropy. Shannon's theory defines a data communication system composed of three elements: a source of data, a communication channel , and a receiver.

4. en.wikipedia.org › wiki › Mutual_informationMutual information - Wikipedia

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   19. Juni 2024 · In probability theory and information theory, the mutual information (MI) of two random variables is a measure of the mutual dependence between the two variables. More specifically, it quantifies the " amount of information " (in units such as shannons ( bits ), nats or hartleys ) obtained about one random variable by observing the ...

5. www.researchgate.net › publication › 381202028_Sampling_bias(PDF) Sampling bias corrections for accurate neural measures of...

   www.researchgate.net › publication › 381202028_Sampling_bias

   5. Juni 2024 · Shannon Information theory has long been a tool of choice to measure empirically how populations of neurons in the brain encode information about cognitive variables.

6. www.geeksforgeeks.org › information-theory-in-machine-learningInformation Theory in Machine Learning - GeeksforGeeks

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   18. Juni 2024 · Information theory, introduced by Claude Shannon in 1948, is a mathematical framework for quantifying information, data compression, and transmission. In machine learning, information theory provides powerful tools for analyzing and improving algorithms.

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8. www.ellerman.org › logical-information-theoryLogical Information Theory: New Foundations for Information...

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   Vor 5 Tagen · There is a new theory of information based on logic. The definition of Shannon entropy as well as the notions on joint, conditional, and mutual entropy as defined by Shannon can all be derived by a uniform transformation from the corresponding formulas of logical information theory.

9. novedge.com › blogs › design-newsDesign Software History: Claude Shannon's Impact on Information...

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   Vor 6 Tagen · Claude Shannon, often referred to as the "father of Information Theory," was a mathematician and electrical engineer whose groundbreaking work has had a profound impact on various fields, including telecommunications, computing, and design software.