Now showing items 1-3 of 3

    • 18.175 Theory of Probability, Spring 2005 

      Panchenko, Dmitry A. (2005-06)
      Laws of large numbers and central limit theorems for sums of independent random variables, conditioning and martingales, Brownian motion and elements of diffusion theory.
    • 18.175 Theory of Probability, Spring 2007 

      Panchenko, Dmitry A. (2007-06)
      Laws of large numbers and central limit theorems for sums of independent random variables, conditioning and martingales, Brownian motion and elements of diffusion theory.
    • 18.465 Topics in Statistics: Statistical Learning Theory, Spring 2004 

      Panchenko, Dmitry A. (2004-06)
      The main goal of this course is to study the generalization ability of a number of popular machine learning algorithms such as boosting, support vector machines and neural networks. Topics include Vapnik-Chervonenkis theory, ...