网络五倍的交叉验证;五重交叉验证 网络释义
Fivefold Cross Validation in One-Hidden-Layer and Two-Hidden-Layer Predictive Neural Network Modeling of Machining Surface Roughness Data. Journal of Manufacturing Systems, V. 24, p. 93-107, 2005.Feng C J,Yu A G,Unnati K,et al.Threefold vs fivefold cross vali- dation in one-hidden-layer...
Cross validation is critical in determining the quality of a predictive model and the costs in data collection and data mining. Several cross-validation (CV) techniques are available, including the -fold CV, leave-one-out CV, and the bootstrap type of CV. Some past studies have not revealed...
Five-fold cross validation results on single SVM model trained with various features.YiJu, ChenChengTsung, LuKaiYao, HuangHsinYi, WuYuJu, ChenTzongYi, Lee
被引量: 0发表: 2011年 Specific Language Impairments in Children. Through meticulous fine-tuning of the Connectionist Temporal Classification (CTC) model on the L2-ARCTIC dataset and rigorous five-fold cross-validation, our... R Watkins,M Rice 被引量: 0发表: 1994年 加载更多0关于...
A ten-fold cross-validation (10CV) was applied on a large data set ( N = 5769) to achieve an improved factor model for the PANSS items. The advantages of 10CV are minimal effect of sample characteristics and the ability to investigate the stability of items loading on multiple factors. ...
Several cross-validation(CV) techniques are available, such as the v-fold cross-validation, leave-one-out cross-validation, and the bootstrap typeof cross-validation. Among the v-fold CV methods, tenfold cross-validation is often recommended as the standardtechnique in predictive data mining. ...
Several cross-validation (CV) techniques are available, such as the v-fold cross-validation, leave-one-out cross-validation, and the bootstrap type of cross-validation. Among the v-fold CV methods, tenfold cross-validation is often recommended as the standard technique in predictive data mining...
The ROC curves of the RF and SVM in internal five-fold cross validation for (a) Model I, (b) Model II, (c) Model III and (d) Model IV.Hua, YuJianxin, ChenXue, XuYan, LiHuihui, ZhaoYupeng, FangXiuxiu, LiWei, ZhouWei, Wang...
Several cross-validation (CV) techniques are available, such as the v-fold cross-validation, leave-one-out cross-validation, and the bootstrap type of cross-validation. Among the v-fold CV methods, tenfold cross-validation is often recommended as the standard technique ...