This repository contains a comprehensive tutorial on Support Vector Machines (SVMs), with a focus on how different kernel functions affect classification performance. The tutorial uses a synthetic 2D ...

Abstract: To solve the problem of low prediction accuracy of SVM algorithm, this paper proposes a prediction model research method based on PSO-SVM kernel function hybrid algorithm, designs global and ...

Conducted a comprehensive analysis of Support Vector Machine (SVM) kernels to understand their performance on non-linear datasets, while ensuring methodological rigor through a properly structured ...

A support vector machine (SVM) is a software system that can perform binary classification. For example, you can use an SVM to create a model that predicts the sex of a person (male, female) based on ...