Machine learning algorithms have been used to predict cancer progression, identify early signs of Parkinson’s disease, and ...

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Abstract. In the core competence comprehensive evaluation of aviation manufacturing enterprises, exploring the key factors affecting core competence is crucial to improve the competitiveness of the ...

Support Vector Machines (SVMs) represent a robust and versatile class of machine learning algorithms that have significantly shaped the fields of pattern recognition, classification, and regression.

Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 78, No. 1 (JANUARY 2016), pp. 53-76 (24 pages) The support vector machine (SVM) is a powerful binary classification ...

AI transforms RF engineering through neural networks that predict signal behavior and interference patterns, enabling ...