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Statistical methods in learning

  • A. Sutherland
  • R. Henery
  • R. Molina
  • C. C. Taylor
  • R. King
Acquiring Knowledge
Part of the Lecture Notes in Computer Science book series (LNCS, volume 682)

Abstract

In this paper we describe an ESPRIT project known as ‘Stat-Log’ whose purpose is the comparison of learning algorithms. We give a brief summary of some of the algorithms in the project: linear and quadratic discriminant analysis, k nearest neighbour, CART, backpropagation, SMART, ALLOC80 and Pearl's polytree algorithm. We discuss the results obtained for two datasets, one of handwritten digits and the other of vehicle silhouettes.

Keywords

Hide Node Training Time Smoothing Parameter Decision Class Causal Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag 1993

Authors and Affiliations

  • A. Sutherland
    • 1
  • R. Henery
    • 1
  • R. Molina
    • 2
  • C. C. Taylor
    • 3
  • R. King
    • 1
  1. 1.Department of Statistics and Modelling ScienceUniversity of StrathclydeGlasgowScotland
  2. 2.Departamento de Ciencias de la Computación e I.A.Universidad de GranadaGranadaSpain
  3. 3.Department of StatisticsUniversity of LeedsLeedsEngland

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