首页|Reports on Computational Intelligence Findings from Anhui University Provide New Insights (An Evolutionary Multitasking Method for High-dimensional Receiver Ope rating Characteristic Convex Hull Maximization)
Reports on Computational Intelligence Findings from Anhui University Provide New Insights (An Evolutionary Multitasking Method for High-dimensional Receiver Ope rating Characteristic Convex Hull Maximization)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning - Comp utational Intelligence is now available. According to news reporting originating from Hefei, People’s Republic of China, by NewsRx correspondents, research stat ed, “Maximizing receiver operating characteristic convex hull (ROCCH) is a hot r esearch topic of binary classification, since it can obtain good classifiers und er either balanced or imbalanced situation. Recently, evolutionary algorithms (E As) especially multi-objective evolutionary algorithms (MOEAs) have shown their competitiveness in addressing the problem of ROCCH maximization.”
HefeiPeople’s Republic of ChinaAsiaComputational IntelligenceMachine LearningEvolutionary AlgorithmMathemati csAnhui University
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