Author:
Dev Vikrant A.,Eden Mario R.
Reference14 articles.
1. XGBoost: A Scalable Tree Boosting System;Chen,2016
2. Data-Driven Materials Modeling with XGBoost Algorithm and Statistical Inference Analysis for Prediction of Fatigue Strength of Steels;Choi;International Journal of Precision Engineering and Manufacturing,2019
3. Evaluating the Boosting Approach to Machine Learning for Formation Lithology Classification;Dev;Computer Aided Chemical Engineering,2018
4. Dictionary of Petroleum Exploration, Drilling, and Production;Hyne,2014
5. LightGBM: A Highly Efficient Gradient Boosting Decision Tree;Ke;Advances in Neural Information Processing Systems,2017
Cited by
64 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献