Package gov.sandia.cognition.learning.algorithm.svm

Provides implementations of Support Vector Machine (SVM) learning algorithms.

See:
          Description

Class Summary
PrimalEstimatedSubGradient An implementation of the Primal Estimated Sub-Gradient Solver (PEGASOS) algorithm for learning a linear support vector machine (SVM).
SequentialMinimalOptimization<InputType> An implementation of the Sequential Minimal Optimization (SMO) algorithm for training a Support Vector Machine (SVM), which is a kernel-based binary categorizer.
SuccessiveOverrelaxation<InputType> The SuccessiveOverrelaxation class implements the Successive Overrelaxation (SOR) algorithm for learning a Support Vector Machine (SVM).
 

Package gov.sandia.cognition.learning.algorithm.svm Description

Provides implementations of Support Vector Machine (SVM) learning algorithms.

Since:
2.1
Author:
Justin Basilico