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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.
Kwoh-Ting Li Professor of Engineering Professor of Electrical Engineering and Statistics Stanford University. Information Systems Laboratory Packard Building, Room 254 Stanford, CA 94305-9510 USA. tel: 1-650-723-4505 fax: 1-650-723-8473 e-mail: cover@stanford.edu.
9 de abr. de 2012 · Thomas Cover, one the world’s top information theorists and a professor of electrical engineering and of statistics at Stanford University, died on March 26 at Stanford Hospital at the age of 73. “A senior colleague at MIT often referred to Tom Cover as ‘the jewel in Stanford's crown.’
Thomas M. Cover. Comments on the paper Asymptotically Optimal Discriminant Functions for Pattern Classification by C. Wolverton and T. Wagner. IEEE Transactions on Information Theory, IT-15(2):265, March 1969. Thomas M. Cover. Hypothesis Testing with Finite Statistics. Ann. Math. Stat., 40(3):828--835, June 1969. Thomas M. Cover.
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. The algorithm rebalances the portfolio at the beginning of each trading period.
T HOMAS M. COVER, one of the past half-century’s most brilliant and prolific contributors to information and communications theory, pattern recognition and learning, and the analysis of gambling and investment strategies, died on March 26, 2012, at the age of 73. Tom was born on August 7, 1938, in San Bernardino in California’s “Inland ...
Cover's theorem - Wikipedia. (Redirected from 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.