Now showing items 1-2 of 2

    • Comparing Support Vector Machines with Gaussian Kernels to Radial Basis Function Classifiers 

      Schoelkopf, B.; Sung, K.; Burges, C.; Girosi, F.; Niyogi, P.; e.a. (1996-12-01)
      The Support Vector (SV) machine is a novel type of learning machine, based on statistical learning theory, which contains polynomial classifiers, neural networks, and radial basis function (RBF) networks as special ...
    • Neural Networks 

      Jordan, Michael I.; Bishop, Christopher M. (1996-03-13)
      We present an overview of current research on artificial neural networks, emphasizing a statistical perspective. We view neural networks as parameterized graphs that make probabilistic assumptions about data, and view ...