首页|Researchers from University of Lisbon Report on Findings in Machine Learning (Fa st Emulation of Cosmological Density Fields Based On Dimensionality Reduction and Supervised Machine Learning)
Researchers from University of Lisbon Report on Findings in Machine Learning (Fa st Emulation of Cosmological Density Fields Based On Dimensionality Reduction and Supervised Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Current study results on Machine Learning have be en published. According to news originating from Lisbon, Portugal, by NewsRx cor respondents, research stated, “N-body simulation is the most powerful method for studying the nonlinear evolution of large-scale structures. However, these simu lations require a great deal of computational resources, making their direct ado ption unfeasible in scenarios that require broad explorations of parameter space s.”
LisbonPortugalEuropeCyborgsDark MatterDimensionality ReductionEmerging TechnologiesMachine LearningPhysi csUniversity of Lisbon
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