Sentence examples for valid error from inspiring English sources

Frequently, while downloading updates for all apps, Android users get a "Package File is Not Valid" error.

This demonstrates that even though a 4% improvement is beneficial, in most applications a standard PC architecture will result in valid error mapping plan.

However, for health economic evaluations, it is important to include valid error rates: these are comparable to the sensitivity and specificity of diagnostic instruments, which play an important role in evaluations.

This is because, as discussed earlier, the clustering of observations within patients is a form of ignorable clustering, and therefore does not need to be accounted for in the analysis to obtain valid error rates.

Dealing with missing values in e-CCC-Biclustering is straightforward and can be performed in two ways: 1. Considering missing values as valid errors.

Figure 10 shows the generalized suffix tree T right and the two maximal 1-CCC-Biclusters (B1 and B2) identified by two valid models when e = 1, q r = q c = 3 and missing values are considered as valid errors.

In general, when restricted errors are considered, the allowed substitutions for any symbol A ij are in the set, where is the position of A ij in and z is a value in that specifies the number of neighbors both to the left and to the right of that are considered valid errors.

The allowed substitutions for each symbol in p B are the z neighbors, both to the left and to the right of Σ '[ p] that are considered as valid errors, where p is the position of the symbol p B [ k] in Σ '.

In order to consider missing values as valid errors we modify e-CCC-Biclustering as follows: The initialization of Ext m in procedure computeRightMaximalBiclusters must include the symbol used for missing value, when e > 0, and ignore all edges descending from the root starting with this symbol, when e = 0.

When missing values are considered as valid errors, N e, p B ) is computed using the alphabet Σ '∪ mv', where mv is the symbol used for missing value and each element mv' is obtained by concatenating m and one number in the range {1,..., | C|}, that is, mv' = { mv} × {1,..., | C|}.

On the other hand, in Approach 2, feature selection is performed using the training set within each cross-validation fold, and so the resulting cross-validation error rate is valid.