首页|Swiss Tropical and Public Health Institute Reports Findings in Machine Learning (Spatiotemporal Modelling of Airborne Birch and Grass Pollen Concentration acros s Switzerland: a comparison of statistical, machine learning and ensemble method s)
Swiss Tropical and Public Health Institute Reports Findings in Machine Learning (Spatiotemporal Modelling of Airborne Birch and Grass Pollen Concentration acros s Switzerland: a comparison of statistical, machine learning and ensemble method s)
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2024 OCT 09 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on Machine Learning is the subject o f a report. According to news reporting from Allschwil, Switzerland, by NewsRx j ournalists, research stated, "Statistical and machine learning models are common ly used to estimate spatial and temporal variability in exposure to environmenta l stressors, supporting epidemiological studies. We aimed to compare the perform ances, strengths and limitations of six different algorithms in the retrospectiv e spatiotemporal modeling of daily birch and grass pollen concentrations at a sp atial resolution of 1 km across Switzerland."
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