Support Vector Regression (SVR) - R Project This project demonstrates the implementation of Support Vector Regression (SVR) in R. SVR is a powerful machine learning technique used for regression tasks ...

Abstract: In this paper, regularization path algorithms were proposed as a novel approach to the model selection problem by exploring the path of possibly all solutions with respect to some ...

This study explores the application of Support Vector Machines (SVM) for predicting key performance metrics, namely Gain and S11 (return loss), in microstrip patch antenna design. By leveraging the ...