On Splitting Training and Validation Set: A Comparative Study of Cross-Validation, Bootstrap and Systematic Sampling for Estimating the Generalization Performance of Supervised Learning [0.03%]
一种估计监督学习泛化性能的交叉验证、自助法和系统抽样方法的比较研究：关于划分训练集与测试集问题
Yun Xu,Royston Goodacre
Yun Xu
Model validation is the most important part of building a supervised model. For building a model with good generalization performance one must have a sensible data splitting strategy, and this is crucial for model validation. In this study,...
Jiayun Hu,Paul W Bohn
Jiayun Hu
Bacterial sensing is important for understanding the numerous roles bacteria play in nature and in technology, understanding and managing bacterial populations, detecting pathogenic bacterial infections, and preventing the outbreak of illne...