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  1. Há 4 dias · Claude Shannon, o fundador da teoria da informação, introduziu este conceito em seu trabalho seminal “A Mathematical Theory of Communication” em 1948. Entropia de Shannon. Na teoria da informação, a entropia é geralmente referida como Entropia de Shannon.

  2. Há 2 dias · 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.

  3. Há 4 dias · O conceito de entropia também aparece na teoria da informação, introduzido por Claude Shannon. A entropia de Shannon, H (X), é uma medida da incerteza em um conjunto de dados ou, de forma mais geral, da quantidade de informação contida em uma mensagem. É definida pela equação: H (X) = – ∑ P (x) * log2(P (x))

  4. Há 2 dias · Information theory is a branch of applied mathematics and electrical engineering involving the quantification, storage, and communication of information. Developed by Claude Shannon in the late 1940s, it forms the basis for modern telecommunications, data compression, and data transmission.

  5. Há 4 dias · "There is an old and very general technique by the founder of information theory, Claude Shannon, that maps an arbitrary electromagnetic signal of fixed amplitude but of any frequency into a point ...

  6. Há 3 dias · THE WORLD WIDE WEB (INTERNET) Several historians trace the origin of the Internet to Claude E. Shannon, an American Mathematician who was considered as the "Father of Information Theory." He worked at Bell Laboratories and at age 32, he published a paper proposing that information can be quantitatively encoded as a sequence of ones and zeroes.

  7. en.wikipedia.org › wiki › Markov_chainMarkov chain - Wikipedia

    Há 4 dias · Information theory. Markov chains are used throughout information processing. Claude Shannon's famous 1948 paper A Mathematical Theory of Communication, which in a single step created the field of information theory, opens by introducing the concept of entropy through Markov modeling of the English