首页|Studies from Shandong University Update Current Data on Support Vector Machines (Svm-based Factor Graph Design for Max-sr Problem of Scma Networks)
Studies from Shandong University Update Current Data on Support Vector Machines (Svm-based Factor Graph Design for Max-sr Problem of Scma Networks)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning - Support Vector Machines. According to news originating from S handong, People’s Republic of China, by NewsRx correspondents, research stated, “In this letter, a novel factor graph design based on the support vector machine (SVM) is proposed to maximize the sum-rate (Max-SR) of three-dimensional (3D) S CMA networks.”
ShandongPeople’s Republic of ChinaAsiaMachine LearningSupport Vector MachinesShandong University
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