Sentence examples for performance of the classification system from inspiring English sources

Hence, these two issues are addressed using a novel technique PNN-ABC based optimal feature selection and parameter optimization for improving the performance of the classification system.

To demonstrate the high performance of the classification system, the results are compared with two widely used commercial recognizers from Microsoft and Vision Objects.

Kussul in 2006 was put forward by using permutation encoding technology of neural network in face recognition, handwritten digital recognition [100], and small object recognition tasks were made with some special performance of the classification system.

We therefore targeted a recall of 0.55 to study the performance of the classification system on the important publications in each topic.

However, both (P varvec{o} | s_{j})) and (P(s_j)) are unknown and must be estimated, which bounds the performance of the classification systems to the quality of the estimation [33].

Ideally, we want to optimize the performance of the identification classifier such that when it is used in combination with the 'classification system', the F-score of the classification system is maximized.

In order to estimate how sensitive the performance of the proposed classification system may be to nonuniformity of the initial distribution of parameters, we have calculated the performance of our distributed classifier starting with model distributions of varying degrees of nonuniformity (Supporting Information Section 4).

In the absence of IR data, the performance of the same classification system dropped for both data sets and between data sets.

Data from the "Understanding Potential Long-term Impacts on Function with Tiotropium" (UPLIFT) trial [ 16– 18] provide the opportunity to investigate the prognostic performance of the new classification system with four years of follow-up.

We apply whitening transformation with different parameters to image patches in the pre-processing step and explore its impact on the performance of the image classification system with different pooling approaches.

Such performance could be attributed either to a limited coverage of the classification systems or to a low accuracy of the similarity measures.