most commonly applied basic ML techniques-namely, Artificial Neural Networks (ANNs), Support Vector Machines (SVMs), and …

study employed two algorithms: Bayesian inference and a weighted Support Vector Machine (SVM) algorithm based on the grey …

fixed-effects model, with machine-learning algorithms such as Random Forest and Support Vector Machine. These methods are …

incorporating weak and sphere support vector machine to address classification challenges with massive datasets. Comparative …The unprecedented growth in data generation has necessitated the adoption of advanced analytical techniques. Support … Vector Machine (SVM) is a powerful machine learning tool that has proven invaluable in classifying observations through …