This project demonstrates the implementation of a Support Vector Machine (SVM) model using Scikit-Learn for classification tasks. SVM is a powerful and versatile supervised learning algorithm capable ...

In this paper, an improved version of proximal support vector machine (PSVM) is proposed for pattern classification of binary datasets. In the proposed PSVM technique, the weight vector is modified ...

Abstract: To enhance the Music genre classification using novel Support Vector clustering Algorithm and K-Nearest Neighbors Classifier with improved accuracy.Two groups such as novel Support Vector ...

The manuscript presents an augmented Lagrangian—fast projected gradient method (ALFPGM) with an improved scheme of working set selection, pWSS, a decomposition based algorithm for training support ...

Support Vector Machines (SVMs) are a powerful and versatile supervised machine learning algorithm primarily used for classification and regression tasks. They excel in high-dimensional spaces and are ...