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  2. Thomas M. Cover - Wikipedia

    en.wikipedia.org/wiki/Thomas_M._Cover

    Thomas M. Cover [ˈkoʊvər] (August 7, 1938 – March 26, 2012) was an American information theorist and professor jointly in the Departments of Electrical Engineering and Statistics at Stanford University. He devoted almost his entire career to developing the relationship between information theory and statistics.

  3. Joy A. Thomas - Wikipedia

    en.wikipedia.org/wiki/Joy_A._Thomas

    Joy Aloysius Thomas (1 January 1963 – 28 September 2020) was an Indian-born American information theorist, author and a senior data scientist at Google.He was known for his contributions to information theory and was the co-author of Elements of Information Theory, a popular text book which he co-authored with Thomas M. Cover.

  4. Cover's theorem - Wikipedia

    en.wikipedia.org/wiki/Cover's_Theorem

    Cover's theorem is a statement in computational learning theory and is one of the primary theoretical motivations for the use of non-linear kernel methods in machine learning applications. It is so termed after the information theorist Thomas M. Cover who stated it in 1965, referring to it as counting function theorem.

  5. List of unsolved problems in information theory - Wikipedia

    en.wikipedia.org/wiki/List_of_unsolved_problems...

    Capacity of the two-way channel: The capacity of the two-way channel (a channel in which information is sent in both directions simultaneously) is unknown. [ 5 ] [ 6 ] Capacity of Aloha : The ALOHAnet used a very simple access scheme for which the capacity is still unknown, though it is known in a few special cases.

  6. Information theory and measure theory - Wikipedia

    en.wikipedia.org/wiki/Information_theory_and...

    Many of the concepts in information theory have separate definitions and formulas for continuous and discrete cases. For example, entropy is usually defined for discrete random variables, whereas for continuous random variables the related concept of differential entropy, written (), is used (see Cover and Thomas, 2006, chapter 8).

  7. Information projection - Wikipedia

    en.wikipedia.org/wiki/Information_projection

    Download as PDF; Printable version; In other projects Wikidata item; Appearance. move to sidebar hide. In information theory, the information projection or ...

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  9. Universal portfolio algorithm - Wikipedia

    en.wikipedia.org/wiki/Universal_portfolio_algorithm

    The universal portfolio algorithm is a portfolio selection algorithm from the field of machine learning and information theory. The algorithm learns adaptively from historical data and maximizes the log-optimal growth rate in the long run. It was introduced by the late Stanford University information theorist Thomas M. Cover. [1]