Short text filtering based on gradient boosting decision tree

Estimating Surface Downward Shortwave Radiation over China Based on the Gradient Boosting Decision Tree Method

Downward shortwave radiation (DSR) is an essential parameter in the terrestrial radiation budget and a necessary input for models of land-surface processes. Although several radiation products using satellite observations have been released, coarse spatial resolution and low accuracy limited their application. It is important to develop robust and accurate retrieval methods with higher spatial ...

LightGBM: A Highly Efficient Gradient Boosting Decision Tree

Gradient Boosting Decision Tree (GBDT) is a popular machine learning algorithm, and has quite a few effective implementations such as XGBoost and pGBRT. Although many engineering optimizations have been adopted in these implementations, the efficiency and scalability are still unsatisfactory when the feature dimension is high and data size is large. A major reason is that for each feature, they...

Phone duration modeling using gradient tree boosting

Wavelet-based gradient boosting

A new data science tool named wavelet-based gradient boosting is proposed and tested. The approach is special case of componentwise linear least squares gradient boosting, and involves wavelet functions of the original predictors.Wavelet-based gradient boosting takes advantages of the approximate 1 penalization induced by gradient boosting to give appropriate penalized additive fits. The method...

Tree-Structured Boosting: Connections Between Gradient Boosted Stumps and Full Decision Trees

José Marcio Luna 1 Eric Eaton 2 Lyle H. Ungar 2 Eric Diffenderfer 1 Shane T. Jensen 3 Efstathios D. Gennatas 4 Mateo Wirth 3 Charles B. Simone II 5 Timothy D. Solberg 4 Gilmer Valdes 4 1 Dept. of Radiation Oncology, University of Pennsylvania {Jose.Luna,Eric.Diffenderfer}@uphs.upenn.edu 2 Dept. of Computer and Information Science, University of Pennsylvania {eeaton,ungar}@cis.upenn.edu 3 Dept. ...