Random forests (RF)
Random multinomial logit (RMNL)
Ridge regression
Decision tree
Memetic algorithm
Auto-encoding networks with a bottleneck-layer
Many other machine learning methods applying a pruning step.
Random Forests. A Random Forest consists of a collection or ensemble of simple tree predictors, each capable of producing a response when presented with a set of predictor values.
Neoplastic Icicle uses a nonlinear regression technique known as "random forests" and comes up with a miniscule Diebold effect (+.82% for Clinton).
5, Random forest and many more)
Decision Tree in Perl
ID3 in Prolog is provided by Stanford University
Decision Trees and Predictive Models with cross-validation and ROC analysis plot using Matlab by Andrea Padoan ...
 See also: Classification, Regression, Decision Trees, Neural network, Percept
  
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