RadialBasisFunction.h File Reference

This class implements a Radial Basis Function Weak Classifier. The Radial Basis Function (RBF) class fits an RBF to the weighted training data so as to maximize the number of positive training samples that are inside a specific region of the RBF (this region is set by the GRT::RadialBasisFunction::positiveClassificationThreshold parameter). After the RBF has been trained, it will output 1 if the input data is inside the RBF positive classification region, otherwise it will output 0. More...

#include "WeakClassifier.h"

Go to the source code of this file.

Classes
class	RadialBasisFunction

Detailed Description

This class implements a Radial Basis Function Weak Classifier. The Radial Basis Function (RBF) class fits an RBF to the weighted training data so as to maximize the number of positive training samples that are inside a specific region of the RBF (this region is set by the GRT::RadialBasisFunction::positiveClassificationThreshold parameter). After the RBF has been trained, it will output 1 if the input data is inside the RBF positive classification region, otherwise it will output 0.

Author

Nicholas Gillian ngill.nosp@m.ian@.nosp@m.media.nosp@m..mit.nosp@m..edu

Version

1.0

Definition in file RadialBasisFunction.h.