网络五倍的交叉验证;五重交叉验证 网络释义
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...
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Five-fold cross validation results on single SVM model trained with various features.YiJu, ChenChengTsung, LuKaiYao, HuangHsinYi, WuYuJu, ChenTzongYi, Lee
The fivefold differential cross sections of the simple ionization of hydrogen, deuterium, and tritium diatomic molecules are determined by the use of one-center Coulomb continuum wave functions describing the slow ejected electron. Vertical transitions from the lowest vibrational state of the fundamental...
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...
TASK_NAME_OR_ID refers to the task you would like to train and FOLD is the fold of the cross-validation. GPUS (integer value) specifies the number of GPUs you wish to train on. To specify which GPUs you want to use, please make use of the CUDA_VISIBLE_DEVICES envorinment variable ...
We evaluated the experiments by calculating Root Means Square Error (RMSE), using the 10-fold cross validation approach (10-CV) to evaluate the predictions of ratings. Therefore, the “recommendation quality” in the further text refers to the quality measured by RMSE obtained via the 10-CV pr...
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. ...