首页|Investigators from University of Stellenbosch Report New Data on Machine Learnin g (Mapping Soil Thickness By Accounting for Right-censored Data With Survival Pr obabilities and Machine Learning)
Investigators from University of Stellenbosch Report New Data on Machine Learnin g (Mapping Soil Thickness By Accounting for Right-censored Data With Survival Pr obabilities and Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Machine Learning is now available. According to news reporting originating from Stellenbosch, South Afr ica, by NewsRx correspondents, research stated, "In digital soil mapping, modell ing soil thickness poses a challenge due to the prevalent issue of right-censore d data. This means that the true soil thickness exceeds the depth of sampling, a nd neglecting to account for the censored nature of the data can lead to poor mo del performance and underestimation of the true soil thickness." Financial support for this research came from National Research Foundation - Sou th Africa.
StellenboschSouth AfricaAfricaCybo rgsEmerging TechnologiesMachine LearningUniversity of Stellenbosch
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