首页|Studies in the Area of Support Vector Machines Reported from Faculty of Sciences (Sparse Least-squares Universum Twin Bounded Support Vector Machine With Adapti ve lp-norms and Feature Selection)
Studies in the Area of Support Vector Machines Reported from Faculty of Sciences (Sparse Least-squares Universum Twin Bounded Support Vector Machine With Adapti ve lp-norms and Feature Selection)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in Support Vector Machines. According to newsreporting from Usti nad Labem, Czech Republic, by NewsRx journalists, research stated, “In data analysis,when attemp ting to solve classification problems, we may encounter a large number of featur es. However,not all features are relevant for the current classification, and i ncluding irrelevant features can occasionallydegrade learning performance.”
Usti nad LabemCzech RepublicEuropeEmerging TechnologiesMachine LearningSupport Vector MachinesVector Machine sFaculty of Sciences
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