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, ...

In this project, we try to illustrate and understand the principal of support vector machine and the derivative convex optimization problem. Based on MATLAB and CVX package, we implement hard-margin, ...

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 ...

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 ...

Translational Psychiatry - A support vector machine model provides an accurate transcript-level-based diagnostic for major depressive disorder Skip to main content Thank you for visiting nature.com.

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 ...