Opposite Maps (OM) is a method that can be used to induce sparse SVM-based and LS-SVM-based classifiers. The main idea behind the OM method is to train two ...

In this paper, an iterative method based on the OM, called. Fast Opposite Maps, is introduced with the aim of accelerating OM training time. Comprehensive ...

In this paper, an iterative method based on the OM, called Fast Opposite Maps, is introduced with the aim of accelerating OM training time. Comprehensive ...

We show how reduced-set methods can be applied to multiclass SVMs made up of several binary SVMs, with significantly better results than reducing each binary ...

Opposite Maps (OM) is a method that can be used to induce sparse SVM-based and LS-SVM-based classifiers. The main idea behind the OM method is to train two ...

An iterative method based on the OM, called Fast Opposite Maps, is introduced with the aim of accelerating OM training time, and comprehensive computer ...

A novel method, called Opposite Maps, is introduced with the aim of generating reduced sets for efficiently training of support vector machines (SVM) and least ...

We introduce a novel heuristic based on the Kohonen's SOM, called Opposite Maps, for building reduced-set SVM classifiers. When applied to the standard SVM ...

Fast Opposite Maps: An Iterative SOM-Based Method for Building Reduced-Set SVMs · A Novel Heuristic for Building Reduced-Set SVMs Using the Self-Organizing Map.

Feb 17, 2022 · "Fast Opposite Maps: An Iterative SOM-Based Method for Building Reduced-Set SVMs." In Intelligent Data Engineering and Automated Learning ...