Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

APLR builds predictive, interpretable regression and classification models using Automatic Piecewise Linear Regression. It often rivals tree-based methods in predictive accuracy while offering ...

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ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...

Introduction: Food price volatility continues to be a significant concern in Kenya's economic development, posing challenges to the country's economic stability. Methodology: This study examines the ...

The gradient tree boosting models showed positive likelihood ratios of 4.67 to 6.18 for sepsis and 4.16 to 5.83 for septic shock. HealthDay News — Artificial intelligence can help predict which ...

Department of Radiology, Jinling Hospital, Affiliated Nanjing Medical University, Nanjing 210002, China Department of Radiology, The Affiliated Jiangning Hospital of Nanjing Medical University, ...

Having an accurate estimation for Arkansas’ above ground forest biomass has numerous economic and environmental impacts, Dr. Hamdi Zurqani told Talk Business & Politics. The key is to understand how ...

Container fruit trees are a lovely way for those who have a smaller garden to grow their own lemons, figs, and more. However, over time, these trees will eventually outgrow their home and need to be ...