首页|Studies Conducted at University of Trier on Support Vector Machines Recently Rep orted (Mixed-integer Quadratic Optimization and Iterative Clustering Techniques for Semi-supervised Support Vector Machines)
Studies Conducted at University of Trier on Support Vector Machines Recently Rep orted (Mixed-integer Quadratic Optimization and Iterative Clustering Techniques for Semi-supervised Support Vector Machines)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Support Vector Machin es have been presented. According to news reporting originating in Trier, German y, by NewsRx journalists, research stated, "Among the most famous algorithms for solving classification problems are support vector machines (SVMs), which find a separating hyperplane for a set of labeled data points. In some applications, however, labels are only available for a subset of points." Funders for this research include German Research Foundation (DFG), German Resea rch Foundation (DFG).
TrierGermanyEuropeEmerging Technol ogiesMachine LearningSupport Vector MachinesVector MachinesUniversity of Trier
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