In proximal support vector machine (PSVM), datapoints are assigned to classes by measuring the proximity of it from the two parallel hyperplanes. The hyperplanes are formed such that each of the two ...

Incremental learning technique is usually used to solve large-scale problem. We firstly gave a modified support vector machine (SVM) classification method - support vector domain classifier (SVDC), ...

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) ...

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 ...

Support Vector Machine is a versatile and powerful algorithm for classification and regression tasks. Its ability to handle high-dimensional data, its robustness to outliers, and its ability to learn ...

Abstract. 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 ...