Now showing items 385-387 of 1835

    • Hierarchical Mixtures of Experts and the EM Algorithm 

      Jordan, Michael I.; Jacobs, Robert A. (1993-08-01)
      We present a tree-structured architecture for supervised learning. The statistical model underlying the architecture is a hierarchical mixture model in which both the mixture coefficients and the mixture components are ...
    • On the Convergence of Stochastic Iterative Dynamic Programming Algorithms 

      Jaakkola, Tommi; Jordan, Michael I.; Singh, Satinder P. (1993-08-01)
      Recent developments in the area of reinforcement learning have yielded a number of new algorithms for the prediction and control of Markovian environments. These algorithms, including the TD(lambda) algorithm of Sutton ...
    • How are Three-Deminsional Objects Represented in the Brain? 

      Buelthoff, Heinrich H.; Edelman, Shimon Y.; Tarr, Michael J. (1994-04-01)
      We discuss a variety of object recognition experiments in which human subjects were presented with realistically rendered images of computer-generated three-dimensional objects, with tight control over stimulus shape, ...