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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.
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.
Thomas M. Cover (* 7. August 1938 in San Bernardino, Kalifornien; † 26. März 2012) hielt eine gemeinsame Professur der Fachbereiche Elektrotechnik und Statistik der Stanford University. Er war ehemaliger Präsident der Gesellschaft für Informationstheorie bei der IEEE sowie Fellow des Instituts für Mathematische Statistik und ...
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 .
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 [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.
