首页|Reports Summarize Support Vector Machines Study Results fromHefei University of Technology (Ss-masvm: an Advanced Techniquefor Assessing Failure Probability of High-dimensional Complex Systems Using the Multi-class Adaptive Support Vector …)
Reports Summarize Support Vector Machines Study Results fromHefei University of Technology (Ss-masvm: an Advanced Techniquefor Assessing Failure Probability of High-dimensional Complex Systems Using the Multi-class Adaptive Support Vector …)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Support Vector Machines is the subject of a report. According tonews reporting out of Hefei, People’s Republic of China, by NewsRx editors, research stated, “The integrityof structures in contemporary engineering practices is heavily influenced by inherent uncertainties, whichnecessitates the development of reliable structural reliability analysis methods for uncertainty quantification and probabilistic analysis. This paper investigates the integration of surrogate models and subset simulation(SS) to accurately compute the failure probabilities of high-dimensional complex systems.”
HefeiPeople’s Republic of ChinaAsiaEmerging TechnologiesEngineeringMachine LearningSupport Vector MachinesVector MachinesHefei University of Technology
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