首页|Reports Outline Machine Learning Findings from University of Queensland (Designi ng Unique and High-performance Al Alloys Via Machine Learning: Mitigating Data B ias Through Active Learning)
Reports Outline Machine Learning Findings from University of Queensland (Designi ng Unique and High-performance Al Alloys Via Machine Learning: Mitigating Data B ias Through Active Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting out of St. Lucia, Australia , by NewsRx editors, research stated, “Data-driven modelling, such as machine le arning (ML), has great potential to streamline the complexity involved in design ing new alloys.However, such powerful predictive models require a high-quality dataset, which is limited in the alloy fielddue to selection and reporting bias es.”
St. LuciaAustraliaAustralia and New ZealandAlloysCyborgsEmerging TechnologiesMachine LearningUniversity of Queensland
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