首页|Recent Research from Queen Mary University of London Highlight Findings in Machi ne Learning (Calabi-yau Four-, Five-, Sixfolds As Pnw Hypersurfaces: Machine Lea rning, Approximation, and Generation)
Recent Research from Queen Mary University of London Highlight Findings in Machi ne Learning (Calabi-yau Four-, Five-, Sixfolds As Pnw Hypersurfaces: Machine Lea rning, Approximation, and Generation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting originating from London, United King dom, by NewsRx correspondents, research stated, “Calabi-Yau fourfolds may be con structed as hypersurfaces in weighted projective spaces of complex dimension fiv e defined via weight systems of six weights. In this work, neural networks were implemented to learn the Calabi-Yau Hodge numbers from the weight systems, where gradient saliency and symbolic regression then inspired a truncation of the Lan dau-Ginzburg model formula for the Hodge numbers of any dimensional Calabi-Yau c onstructed in this way.”
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