GitHub - microsoft/LightGBM: A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
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A Swarm Enhanced Light Gradient Boosting Machine for Crowdfunding Project Outcome Prediction | SpringerLink
Comparison of five Boosting-based models for estimating daily reference evapotranspiration with limited meteorological variables | PLOS ONE
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PDRLGB: precise DNA-binding residue prediction using a light gradient boosting machine | BMC Bioinformatics | Full Text
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Gradient boosting decision tree becomes more reliable than logistic regression in predicting probability for diabetes with big data | Scientific Reports
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Rapid Prediction Model for Urban Floods Based on a Light Gradient Boosting Machine Approach and Hydrological–Hydraulic Model | SpringerLink
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IJGI | Free Full-Text | Polarimetric Target Decompositions and Light Gradient Boosting Machine for Crop Classification: A Comparative Evaluation
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Environments | Free Full-Text | Evaluation of Light Gradient Boosted Machine Learning Technique in Large Scale Land Use and Land Cover Classification
Prediction of the Aqueous Solubility of Compounds Based on Light Gradient Boosting Machines with Molecular Fingerprints and the Cuckoo Search Algorithm | ACS Omega
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