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 ...

In this repository, you will find a comprehensive collection of in-depth explanations, intuition, questions, and answers related to the Support Vector Machine (SVM) algorithm. Additionally, you will ...

Support Vector Machine (SVM) is a powerful supervised machine learning algorithm used for classification and regression tasks. SVM aims to find the optimal hyperplane that best separates data points ...

Support Vector Machine or SVM is a supervised and linear Machine Learning algorithm most commonly used for solving classification problems and is also referred to as Support Vector Classification.

Support vector machine (SVM) algorithm has shown a good learning ability and generalization ability in classification, regression and forecasting. This paper mainly analyzes the the performance of ...

The increasing number of Acute Respiratory Infection (ARI) cases in Jabodetabek, averaging 200 thousand per month, is linked to rising air pollution levels in Jakarta. This study compares ...

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 ...

A Support Vector Machine (SVM) is a supervised learning algorithm utilized in the field of machine learning. It is primarily applied to perform tasks such as classification and regressionThis ...