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Extreme Gradient Boosting for yield estimation compared with Deep Learning approaches [PDF]
Computers and Electronics in Agriculture, 2022 Accurate prediction of crop yield before harvest is of great importance for crop logistics, market planning, and food distribution around the world. Yield prediction requires monitoring of phenological and climatic characteristics over extended time ...
Florian Huber, Volker Steinhage
exaly +4 more sources
Geoscience Frontiers, 2021 Accurate assessment of undrained shear strength (USS) for soft sensitive clays is a great concern in geotechnical engineering practice. This study applies novel data-driven extreme gradient boosting (XGBoost) and random forest (RF) ensemble learning ...
Wengang Zhang +2 more
exaly +2 more sources
Gradient boosting for extreme quantile regression
Extremes, 2023 AbstractExtreme quantile regression provides estimates of conditional quantiles outside the range of the data. Classical quantile regression performs poorly in such cases since data in the tail region are too scarce. Extreme value theory is used for extrapolation beyond the range of observed values and estimation of conditional extreme quantiles. Based
Jasper Velthoen +2 more
exaly +6 more sources
Prediksi Stroke Menggunakan Extreme Gradient Boosting
JIKO (Jurnal Informatika dan Komputer)Stroke is one of the diseases that causes the most disability and death of adults in the world. One of the important things of stroke is early treatment, so that the stroke does not progress to a serious level.
Danang Triantoro Murdiansyah
semanticscholar +2 more sources
Railroad accident analysis using extreme gradient boosting [PDF]
Accident Analysis & Prevention, 2021 Railroads are critical to the economic health of a nation. Unfortunately, railroads lose hundreds of millions of dollars from accidents each year. Trends reveal that derailments consistently account for more than 70 % of the U.S. railroad industry's average annual accident cost.
Raj Bridgelall, Denver D. Tolliver
openaire +3 more sources
Rainfall forecasting using extreme gradient boosting
Commun. Math. Biol. Neurosci.Ivana Sakura Indah Margareth +2 more
semanticscholar +2 more sources
Quantile Extreme Gradient Boosting for Uncertainty Quantification
CoRR, 2023 15 pages, 7 figures and 4 ...
Xiaozhe Yin +5 more
openaire +2 more sources
Wind Speed Forecasting Based on Extreme Gradient Boosting [PDF]
IEEE Access, 2020 As the integration of wind power into electrical energy network increasing, accurate forecast of wind speed becomes highly important in the case of large-scale wind power connected into the grid. In order to improve the accuracy of wind speed forecast and the generalization ability of the model, Extreme Gradient Boosting (XGBoost) as an improvement ...
Ren Cai +5 more
openaire +2 more sources
Tweedie gradient boosting for extremely unbalanced zero-inflated data [PDF]
Communications in Statistics - Simulation and Computation, 2020 Tweedie's compound Poisson model is a popular method to model insurance claims with probability mass at zero and nonnegative, highly right-skewed distribution. In particular, it is not uncommon to have extremely unbalanced data with excessively large proportion of zero claims, and even traditional Tweedie model may not be satisfactory for fitting the ...
He Zhou, Wei Qian, Yi Yang
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