Sentence examples for by maximizing the classification from inspiring English sources

The optimal τ is selected by maximizing the classification accuracy on 3 unseen points.

Our task is to select a smaller number of simple fuzzy if-then rules with high classification performance, and this is performed by maximizing the classification accuracy, minimizing the number of selected rules, and minimizing the total rule length at the same time.

Section 4 of this paper illustrates the performance of MRRMRR on three real high-dimensional data sets with different values of p. Because the forward search of the MRMR criterion with various choices of relevance and redundancy depends on parameter γ in (1), the optimal result is obtained by maximizing the classification accuracy over different values of γ.

For a set of training samples, D-ABC algorithm modifies parameters vector x → = { C, γ, q 1, q 2, …, q n } cycle-by-cycle, and search best x → for maximizing the classification accuracy.

Maximizing the classification margin (similar to Taskar et al., 2004) may also improve generalization.

Coefficients λ1 and λ2 were estimated by maximizing the training-partition classification accuracy via simple hill climbing.

The GHMRF approach reclassifies the voxels into recurrent patterns by maximizing the probability to observe the classification for the given tomogram.

The classification obtained by maximizing the posterior probability compared well to previously published methods, providing a more intuitive and robust choice of the final classification threshold.

For each similarity measure, the optimal k value could be selected to generate the best classification feature by maximizing the AUC score (Supporting Figure S1).

The LDA is then performed to obtain a linear discriminant function for the two risk classes by maximizing the prediction power or minimizing the overall classification error both for false positives and false negatives with equal weights.

For each classifier, we defined a cut-off value for the classification in cancer and normal tissues by maximizing the sum of sensitivity and specificity.