Now showing items 1-4 of 4
A nested heuristic for parameter tuning in support vector machines [Article]
The default approach for tuning the parameters of a Support Vector Machine (SVM) is a grid search in the parameter space. Different metaheuristics have been recently proposed as a more efficient alternative, but they have ...
Detecting relevant variables and interactions in supervised classification [Article]
The widely used Support Vector Machine (SVM) method has shown to yield good results in Supervised Classification problems. When the interpretability is an important issue, then classification methods such as Classification ...
Multi-group support vector machines with measurement costs a biobjective approach [Article]
Support Vector Machine has shown to have good performance in many practical classification settings. In this paper we propose, for multi-group classification, a biobjective optimization model in which we consider not only ...
Binarized support vector machines [Article]
(INFORMS (Institute for Operations Research and Management Sciences), 2010)
The widely used Support Vector Machine (SVM) method has shown to yield very good results in Supervised Classification problems. Other methods such as Classification Trees have become more popular among practitioners than ...