Showing 1 - 20 results of 20 for search '"Claude E. Shannon"', query time: 0.14s Refine Results
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    AI and Mathematical Education by Angel Garrido

    Published 2012-01-01
    “…Great mathematical minds have played a key role in AI in recent years; to name only a few: Janos Neumann (also known as John von Neumann), Konrad Zuse, Norbert Wiener, Claude E. Shannon, Alan M. Turing, Grigore Moisil, Lofti A. …”
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    Evaluation of The Significance Grades of The Problems Experienced by Mathematics Teachers in Distance Education in The Covid-19 Pandemic by The Entropy Method by Oğuzhan Bahadır, Hande Türkmençalıkoğlu, Ebenezer Bonyah

    Published 2022-11-01
    “…The entropy formula, created by Claude E. Shannon using probability calculations, is an essential and objective measurement method used in multi-criteria decision-making. …”
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    A Medida de Informação de Shannon: Entropia by José Carlos Magossi, Pedro Henrique Camargo de Abreu, Antônio César da Costa Barros, José Renato Paviotti

    Published 2021-11-01
    “…Logo após Claude E. Shannon, em 1948, ter publicado o artigo A Mathematical Theory of Communication, diversas áreas se valeram de seus escritos, principalmente por ele ter desenvolvido uma fórmula para “medir informação” em seu modelo matemático de comunicação, denominando-a entropia. …”
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    Deep learning for communication: emergence, recognition and synthesis by Assael, I

    Published 2019
    “…The scientific study of communication began in Classical Greece with the work of Aristotle and was to evolve through time into the work on information theory by Claude E. Shannon. This work proposes three novel methods for studying the processes of emergence, recognition, synthesis and enhancement of communication, using recent advances in deep learning. …”
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    A entropia de Shannon: uma abordagem axiomática by José Carlos Magossi, Antônio César da Costa Barros

    Published 2021-05-01
    “…A palavra "entropia" surgiu no ano de 1864, nos trabalhos de Termodinâmica de Rudolf Clausius. Em 1948, Claude E. Shannon utiliza esse mesmo nome para designar uma medida de informação em seu modelo matemático de comunicação, fundamentado nos conceitos de emissor, receptor, canal, ruído, redundância, codificação e decodificação. …”
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