Study Findings from University of Science and Technology Beijing Broaden Underst anding of Machine Learning (Toward Ultra-high Strength High Entropy Alloys Via F eature Engineering)
Study Findings from University of Science and Technology Beijing Broaden Underst anding of Machine Learning (Toward Ultra-high Strength High Entropy Alloys Via F eature Engineering)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Machine Learning are discussed in a new report. According tonews reporting originating from Beij ing, People’s Republic of China, by NewsRx correspondents, researchstated, “Mac hine learning assisted design of materials is so far based on features selected by considering theaccuracy of model predictions, and those features do not nece ssarily ensure a high efficiency in searchingfor new materials. Here we estimat e the efficiency of active learning loop by resampling method usingavailable da ta as an alternative criterion for selection.”
Key words
Beijing/People’s Republic of China/Asi a/Alloys/Cyborgs/Emerging Technologies/Engineering/Machine Learning/Univer sity of Science and Technology Beijing
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