首页|Data on Machine Learning Discussed by Researchers at Justus- Liebig-University [Machine Learning for Prediction of Resistance Scores In Wheat (triticum Aestivum L.)]
Data on Machine Learning Discussed by Researchers at Justus- Liebig-University [Machine Learning for Prediction of Resistance Scores In Wheat (triticum Aestivum L.)]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting from Giessen, Germany, by N ewsRx journalists, research stated, “Machine learning methodswere shown to impr ove the prediction accuracies of genomic prediction of resistance scores compare d tomethods like RR-BLUP, which were originally designed for metric rather than ordinal response values. Weconducted a cross-validation study with 361 wheat g enotypes evaluated for five fungal diseases.”
GiessenGermanyEuropeCyborgsEmerg ing TechnologiesGeneticsMachine LearningJustus-Liebig-University
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