首页|Study Findings from Malatya Turgut Ozal University Broaden Understanding of Supp ort Vector Machines (A hybrid approach based on k-means and SVM algorithms in se lection of appropriate risk assessment methods for sectors)
Study Findings from Malatya Turgut Ozal University Broaden Understanding of Supp ort Vector Machines (A hybrid approach based on k-means and SVM algorithms in se lection of appropriate risk assessment methods for sectors)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Data detailed on support vector machines have bee n presented. According to news reporting fromMalatya, Turkey, by NewsRx journal ists, research stated, “Every work environment contains different typesof risks and interactions between risks. Therefore, the method to be used when making a risk assessmentis very important.”
Malatya Turgut Ozal UniversityMalatyaTurkeyEurasiaAlgorithmsMachine LearningSupport Vector Machines