Examples of using Cross-validation in English and their translations into Spanish
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This study shows that cross-validation is unable to select the best initialization.
Added cross-validation between date fields
The predicted R2 values on the plot are calculated with cross-validation.
But I have discovered WEKA as an alternative for cross-validation.
regularization, and cross-validation.
One solution to this problem is a procedure called cross-validation.
see Cross-Validation(Analysis Services- Data Mining).
Cross-validation is used for the insurance parameters' optimization in order to address the risk of over-fitting,
If the prediction method is expensive to train, cross-validation can be very slow since the training must be carried out repeatedly.
Most forms of cross-validation are straightforward to implement as long as an implementation of the prediction method being studied is available.
Cross-validation is the process of assessing how the results of a statistical analysis will generalize to an independent data set.
Cross-validation can be used to compare the performances of different predictive modeling procedures.
Cross-validation only yields meaningful results if the validation set
The first is to use cross-validation and similar techniques to check for the presence of over-training
profile-measuring instruments is especially important for cross-validation, and for separation of tropospheric and stratospheric signals.
or(iii) could provide an objective and independent cross-validation of the identification of priority areas.
the cut off point in the ranking is chosen via cross-validation.
In standard$k$-fold cross-validation, we partition the data into$k$ subsets, called folds.
However- contrary to the aforementioned internal and external cross-validation-, these formulae definitely proved unusable at least for adults
The evaluation with 10-fold cross-validation on the corpus Ancora,