Vladimir Vovk

Vladimir VovkVladimir Vovk is Professor of Computer Science at Royal Holloway, University of London; he also heads the Computer Learning Research Centre. His research interests include machine learning; predictive and Kolmogorov complexity, randomness, and informtion; the foundations of probability and statistics. He has published numerous research papers in these fields and two books: "Probability and finance: It's only a game" (with Glenn Shafer, Wiley, New York, 2001; Japanese translation: Iwanami Shoten, Tokyo, 2006) and "Algorithmic learning in a random world" (with Alex Gammerman and Glenn Shafer, Springer, New York, 2005), which is a comprehensive book on the Conformal Predictions framework. Read More Read Less

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Game-Theoretic Foundations for Probability and Finance14 % NR
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Algorithmic Learning in a Random World37 %
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Algorithmic Learning in a Random World37 %
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Measures of Complexity37 %
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Statistical Learning and Data Sciences37 %
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Measures of Complexity37 %
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Algorithmic Learning in a Random World38 %
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Empirical Inference37 %
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Conformal and Probabilistic Prediction with Applications37 %
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Empirical Inference37 %
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Algorithmic Learning in a Random WorldNR
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Algorithmic Learning TheoryNR
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Basic Electrical Engineering (As Per VTU Syllabus)40 %
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Algorithmic Learning in a Random World27 %
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Probability and Finance11 % NR
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