Software
Boosting Algorithms
- 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.
Mathematical Programming
- CPLEX.
Barrier L/QP Solver, Simplex LP Solver.
- LOQO.
Linear and Quadratic Optimization Package by Robert Vanderbei.
- MINOS.
Linear and Quadratic Solver.
Other Algorithms
- 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).
Add your entry
Gunnar Rätsch and
Takashi Onoda