首页|Study Data from Budapest University of Technology and Economics Provide New Insi ghts into Machine Learning (Automated Group Constant Parameterization for Low Sa mple Sizes Using Different Machine Learning Approaches)
Study Data from Budapest University of Technology and Economics Provide New Insi ghts into Machine Learning (Automated Group Constant Parameterization for Low Sa mple Sizes Using Different Machine Learning Approaches)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Fresh data on Machine Learning are presented in a new report. According to news reportingoriginating from Budapest, Hungary, by NewsRx correspondents, research stated, “This paper deals withgroup constant pa rameterization, a necessary step to utilize the results of assembly-level neutro nicscalculations at the full-core level. The focus is on low sample size proble ms when the commonly usedlinear interpolation approach is inadequate, a typical situation of using Monte Carlo codes for groupconstant generation.”
BudapestHungaryEuropeCyborgsEmer ging TechnologiesMachine LearningMathematicsPolynomialBudapest Universit y of Technology and Economics
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