1. 五倍的交叉验证 根据五倍的交叉验证(Five-fold Cross-validation) 方法下,对於肺区中附著於血管的肿瘤及悬浮於血管附近的肿瘤,我们提出的 … etds.lib.nchu.edu.tw|基于15个网页 2. 五重交叉验证 ...coring Matrix)来预测此问题,并且使用五重交叉验证(Five-Fold Cross-Validation)来训练和测验所提出方法...
Feng C, Yu Z, Kingi U, Baig M (2005) Threefold vs fivefold cross validation in one-hidden-layer and two-hidden-layer predictive neural network modeling of machining surface roughness data. J Manuf Syst 24(2):93–107 View Article
"Threefold vs. Fivefold Cross Validation in One Hidden Layer and two-Hidden Layer Predictive Neural Network Modelling of Machining Surface Roughness Data", ... CXJ Feng,ZGS Yu,U Kingi,... - 《Journal of Manufacturing Systems》 被引量: 89发表: 2005年 THREEFOLD VS. FIVEFOLD CROSS-VALIDATION...
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 ...
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 accuracy of different m values on PDB1075 (Five-fold cross validation).Yubo, WangYijie, DingFei, GuoLeyi, WeiJijun, Tang
Optimal parameters and corresponding performance based on five-fold cross-validation.Yejun WangMing’an SunHongxia BaoQing ZhangDianjing Guo
Cross-validation is a statistical technique for evaluating and comparing learning algorithms by partitioning data into two sets: one used for model training and the other used for model validation. This method is applicable for the performance comparison of different predictive modeling procedures [16]...
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. ...
van der Gaag M , Hoffman T , Remijsen M , Hijman R , de Haan L , van Meijel B , van Harten PN , Valmaggia L , de Hert M , Cuijpers A , Wiersma D ( 2006 ) The five-factor model of the Positive and Negative Syndrome Scale II: a ten-fold cross-validation of a revised ...