Learn More
There has been increasing number of independently proposed randomization methods in different stages of decision tree construction to build multiple trees. Randomized decision tree methods have been reported to be significantly more accurate than widely-accepted single decision trees, although the training procedure of some methods incorporates a(More)
Predicting the values of continuous variable as a function of several independent variables is one of the most important problems for data mining. A very large number of regression methods, both parametric and nonparametric, have been proposed in the past. However, since the list is quite extensive and many of these models make rather explicit, strong yet(More)
  • 1