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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 ...

The organizational structure of the rest paper is as follows: initially, the specific SVM-based multi-dividing ontology algorithms and detailed techniques are presented; then, the feasibility of the ...

This paper presents a parallel digital VLSI architecture for combined support vector machine (SVM) training and classification. For the first time, cascade SVM, a powerful training algorithm, is ...

A support vector machine (SVM) is a computer algorithm that learns by example to assign labels to objects 1.