首页|Findings from University of the Witwatersrand Broaden Understanding of Machine Learning (Spatial Interpolation Using Machine Learning: From Patterns and Regularities To Block Models)
Findings from University of the Witwatersrand Broaden Understanding of Machine Learning (Spatial Interpolation Using Machine Learning: From Patterns and Regularities To Block Models)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in Machine Learning. According to news reportingfrom Johannesburg, South Africa, by NewsRx journalists, research stated, “In geospatial data interpolation,as in mapping, mineral resource estimation, modeling and numerical modeling in geosciences, kriging hasbeen a central technique since the advent of geostatistics. Here, we introduce a new method for spatialinterpolation in 2D and 3D using a block discretization technique (i.e., microblocking) using purely machinelearningalgorithms and workflow design.”
JohannesburgSouth AfricaAfricaCyborgsEmerging TechnologiesMachine LearningUniversity of the Witwatersrand
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