必应词典为您提供five-fold-cross-validation的释义,网络释义: 五倍的交叉验证;五重交叉验证;
Jack Feng C-X, Yu Z-GS, Kingi U, Pervaiz BM (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. doi:10.1016/S0278- 6125(05)80010-X...
Some past studies have not revealed any statistical advantages of using tenfold cross validation over fivefold cross validation. Determining the number of hidden layers is important in predictive modeling with neural networks. This study attempts to compare the performance of fivefold over threefold CV...
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...
The five-factor model of the Positive and Negative Syndrome Scale II: A ten-fold cross-validation of a revised model 来自 国家科技图书文献中心 喜欢 0 阅读量: 166 作者: MVD Gaag,T Hoffman,M Remijsen,R Hijman,LD Haan,BV Meijel,PNV Harten,L Valmaggia,MD Hert,A Cuijpers 展开 摘要: ...
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...
Receiver Operating Characteristics (ROC) curve for five-fold cross-validation and for application of results from discovery data to validation data.Fazli AlpayYalda ZareMamat H. KamalludinXixia HuangXianwei ShiGeorge E. ShookMichael T. Col...
Cross-validation is critical indetermining the quality of a predictive model and the costs in data collection and data mining. 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. ...