Package edu.udo.cs.yale.operator.learner.kernel

Learning schemes which make use of kernel functions to transform the feature space, e.g. support vector machines.

See:
Description

Class Summary

AbstractMySVMLearner	This is the abstract superclass for the support vector machine / KLR implementations of Stefan Rüping.
AbstractMySVMModel	The abstract superclass for the SVM models by Stefan Rueping.
GPLearner	Gaussian Process (GP) Learner.
GPModel	A model learned by the GPLearner.
JMySVMLearner	This learner uses the Java implementation of the support vector machine mySVM by Stefan Rüping.
JMySVMModel	The implementation for the mySVM model (Java version) by Stefan Rueping.
KernelModel	This is the abstract model class for all kernel models.
LibSVMLearner	Applies the libsvm learner by Chih-Chung Chang and Chih-Jen Lin.
LibSVMModel	A model generated by the libsvm by Chih-Chung Chang and Chih-Jen Lin.
MyKLRLearner	This is the Java implementation of myKLR by Stefan Rüping.
MyKLRModel	The model for the MyKLR learner by Stefan Rueping.
RVMLearner	Relevance Vector Machine (RVM) Learner.
RVMModel	A model generated by the RVMLearner.

Package edu.udo.cs.yale.operator.learner.kernel Description

Learning schemes which make use of kernel functions to transform the feature space, e.g. support vector machines.