By applying advanced machine learning algorithms, we constructed accurate and efficient predictive models. Through these models, we aspire to forecast the inpatient needs and potential burdens of ...

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports ...

The application of machine learning and statistical predictive models to business problems has found success in recent years due to an exponential increase in consumer data and readily available ...

The classification of tree species through remote sensing data is of great significance to monitoring forest disturbances, biodiversity assessment, and carbon estimation. The dense time series and a ...