首页|Reports from University of South Australia Describe Recent Advances in Machine L earning (A Transparent and Valid Framework for Rockburst Assessment: Unifying In terpretable Machine Learning and Conformal Prediction)
Reports from University of South Australia Describe Recent Advances in Machine L earning (A Transparent and Valid Framework for Rockburst Assessment: Unifying In terpretable Machine Learning and Conformal Prediction)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingout of Adelaide, Australia, by NewsR x editors, research stated, “The utilization of machine learning (ML)for rockbu rst assessment is hindered by an incomplete problem formalization in prior studi es, whichhave focused more on predictive accuracy and less on factors such as e xplainability and uncertaintyquantification. Despite achieving commendable accu racies, practitioners remain apprehensive about realtimeimplementation due to concerns surrounding transparency and validity, particularly when dealing withc hallenging or unfamiliar rock samples.”
AdelaideAustraliaAustralia and New Z ealandCyborgsEmerging TechnologiesMachine LearningUniversity of South Au stralia
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