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Keywords: LASSO regression, SVM-RFE algorithm, intracranial aneurysm, ROC curve, PPI network Citation: Wu Q, Yang C, Huang C and Lin Z (2025) Screening key genes for intracranial aneurysm rupture ...

Support vector machine (SVM) is a particularly powerful and flexible supervised learning model that analyzes data for both classification and regression, whose usual algorithm complexity scales ...

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 ...

Support Vector Machine (SVM) is often used in regression and classification problems. However, SVM needs to find proper kernel function to solve high-dimensional problems. We propose an improved ...