首页|Investigators from Yangtze University Zero in on Support Vector Machines (Optimi zing Oil-source Correlation Analysis Using Support Vector Machines and Sensory A ttention Networks)
Investigators from Yangtze University Zero in on Support Vector Machines (Optimi zing Oil-source Correlation Analysis Using Support Vector Machines and Sensory A ttention Networks)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Support Vector Machin es have been presented. According to newsreporting originating in Hubei, People ’s Republic of China, by NewsRx journalists, research stated, “Oilsource correl ation can be used to identify the origin of crude oil by linking crude oil to so urce rocks;however, the manual methods, which are limited by the sample or para meter quantity or imbalanceddatasets, are facing uncertainties. Although the ex isting multivariate statistical techniques can alleviatethis problem, they are facing difficulties in processing imbalanced datasets and quantifying source bed s.”
HubeiPeople’s Republic of ChinaAsiaCorrelation AnalysisEmerging TechnologiesMachine LearningSupport Vector M achinesVector MachinesYangtze University
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