Results 11 to 20 of about 43,844 (258)
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.
Ren Cai +5 more
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Extreme Learning Machine Enhanced Gradient Boosting for Credit Scoring
Algorithms, 2022 Credit scoring is an effective tool for banks and lending companies to manage the potential credit risk of borrowers. Machine learning algorithms have made grand progress in automatic and accurate discrimination of good and bad borrowers.
Yao Zou, Changchun Gao
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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
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Quantile Extreme Gradient Boosting for Uncertainty Quantification
CoRR, 2023 15 pages, 7 figures and 4 ...
Xiaozhe Yin +5 more
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Engineering Reports, 2023 The implementation of tree‐ensemble models has become increasingly essential in solving classification and prediction problems. Boosting ensemble techniques have been widely used as individual machine learning algorithms in predicting house prices.
Racheal Sibindi +2 more
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Gradient boosting for extreme quantile regression
Extremes, 2023 Abstract Extreme 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 ...
Jasper Velthoen +3 more
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Perbandingan Metode Ensemble Learning pada Klasifikasi Penyakit Diabetes
Jurnal Masyarakat Informatika, 2022 Diabetes merupakan salah satu penyakit dalam dunia medis yang ditandai dengan kadar gula dalam darah yang tinggi pada penderitanya. Menurut data dari Organisasi Kesehatan Dunia (WHO), pada rentang tahun 1980 sampai 2014, terjadi peningkatan kasus ...
Linggar Maretva Cendani, Adi Wibowo
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Diabetes Risk Prediction Using Extreme Gradient Boosting (XGBoost)
JOIN: Jurnal Online Informatika, 2022 One of the uses of medical data from diabetes patients is to produce models that can be used by medical personnel to predict and identify diabetes in patients.
Kartina Diah Kusuma Wardhani +1 more
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Development of Machine-Learning Models to Predict Ambulation Outcomes Following Spinal Metastasis Surgery [PDF]
Asian Spine Journal, 2023 Study Design Retrospective cohort study. Purpose This study aimed to develop machine-learning algorithms to predict ambulation outcomes following surgery for spinal metastasis.
Piya Chavalparit +5 more
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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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