S. Bhattacharyya et Pc. Pendharkar, Inductive, evolutionary, and neural computing techniques for discrimination: A comparative study, DECISION SC, 29(4), 1998, pp. 871-899
This paper provides a comparative study of machine learning techniques for
two-group discrimination. Simulated data is used to examine how the differe
nt learning techniques perform with respect to certain data distribution ch
aracteristics. Both linear and nonlinear discrimination methods are conside
red. The data has been previously used in the comparative evaluation of a n
umber of techniques and helps relate our findings across a range of discrim
ination techniques.