Author:
Han Liang,Yang Guijun,Yang Xiaodong,Song Xiaoyu,Xu Bo,Li Zhenhai,Wu Jintao,Yang Hao,Wu Jianwei
Funder
National Natural Science Foundation of China
National Key Research and Development Program of China
Beijing Science and Technology Planning Project
Special Project for Research and Development in Key areas of Guangdong Province
Subject
Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry
Reference61 articles.
1. Baraniak, K., 2019. ISMIS 2017 Data Mining Competition: Trading Based on Recommendations - XGBoost Approach with Feature Engineering. In: Bembenik, R., Skonieczny, L., Protaziuk, G., Kryszkiewicz, M., Rybinski, H. (Eds.), Intelligent Methods and Big Data in Industrial Applications. Springer International Publishing, Cham, pp. 145–154.
2. A study of the behavior of several methods for balancing machine learning training data;Batista;ACM SIGKDD Explorations Newsletter,2004
3. Estimating Biomass of Barley Using Crop Surface Models (CSMs) Derived from UAV-Based RGB Imaging;Bendig;Remote Sens.,2014
4. Yellowbrick: Visualizing the Scikit-Learn Model Selection Process;Bengfort;J. Open Source Software,2019
5. Hyperopt: a Python library for model selection and hyperparameter optimization;Bergstra;Comput. Sci. Discov.,2015
Cited by
34 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