Software related to Boosting.
- AdaBoost-Reg. A regularized version of the AdaBoost algorithm (in MATLAB) by Gunnar Rätsch. A short documentation can be found here.
- ADTree. Alternating decision tree construction software, multilabel, multiclass, handling text data, submitted by Francesco De Comite.
- LocBoost Applet. Java applet demonstrating several learning algorithms on 2-dimensional data.
- An applet demonstrating AdaBoost. by Yoav Freund.
- BESS. An email filtering system for filtering out SPAM mail using boosting.
- BoosTexter. C implementation of AdaBoost on top of very simple decision rules ("decision stumps") for textual and other data (object code only).
Ensemble Learning Algorithms
- randomForest. An R package for classification and regression by Breiman's random forests.
- CPLEX. Barrier L/QP Solver, Simplex LP Solver.
- LOQO. Linear and Quadratic Optimization Package by Robert Vanderbei.
- MINOS. Linear and Quadratic Solver.
- C4.5. The wellknown Decisition Tree implementation by Ross Quinlan (please note restrictions on distribution).
- minmaj1.0. fits data with a simple majority vote over a small number of decision stumps.
- RBF networks. An implementation of RBF networks with adaptive centers (in matlab) by Gunnar Rätsch. A short documentation can be found here.
- Matlab Classification Toolbox. (Courtesy of Elad Yom-Tov and Hilit Serby).