This repository contains code for performing classification using a Linear Support Vector Machine (SVM) model. The code demonstrates how to load the data, train the model, evaluate its performance, ...

This code implements the unified Pin-SVM model in MATLAB which can minimize the pinball loss function in a true sense without bothering the sign of tau ... Open the file named ‘main_2linear.m’ in ...

In this work, a support vector machine (SVM) with linear kernel function based nonparametric model identification and its application in model algorithmic control (SVM/spl I.bar/MAC) technique is ...

Linear programming (LP) is a powerful technique for optimizing a linear objective function subject to linear constraints. Matlab offers several tools and functions for solving LP problems, such as ...

Preliminary results indicate that, at the same level of vector sparsity, feature selection based on SVM normals performs better than Odds Ratio- or Mutual Information-based feature selection. In the ...

The method is based on training a separate linear SVM classifier for every exemplar in the training set ... geometric structure, 3D model, etc.) directly onto the detections, which can then be used as ...

In this work, a support vector machine (SVM) with linear kernel function based nonparametric model identification and its application in model algorithmic control (SVM/spl I.bar/MAC) technique is ...