Sentence examples for matching decisions from inspiring English sources

We evaluated the performance of each identity resolution approach by checking the correctness of the matching decisions for each reference pair.

Table 2 Possible outcomes of matching decisions   Decision Reality Match Non-match Match True positive (TP) False negative (FN) Non-match False positive (FP) True negative (TN).

In particular, a collective identity resolution technique, which captures all three types of identity attributes and makes matching decisions on identities collectively, is shown to achieve the best performance among all approaches.

In particular, the collective clustering algorithm (CR), which not only considers all types of personal and social attributes but makes matching decisions on identities in a collective fashion, was demonstrated to be the optimal methods that outperform all others.

This includes records which have had their personal identifying information changed (as these field values may influence matching decisions in earlier iterations of record linkage).

We obtain a matching decision function to classify a pair of features as a true or false match.

As illustrated in Table 2, each matching decision on a pair of references is either a "match" (positive) or a "non-match" (negative).

This matching decision method is stricter than the approaches used in[39] because the goal is to demonstrate cyclic spectrum estimation performance rather than signal classification.

During a fifth condition, subjects viewed 2 circles and manipulated 2 wooden spheres while making alternate foot movements (i.e., no matching decision was required).

Synonym judgment was split into 3 conditions (20 items for each cell) varying the type of word (20 high-frequency concrete words, 20 low-frequency concrete words, and 20 abstract/low imageability words) but matching decision times.

By enabling local inspection information to be used beyond local supplier decisions and by integrating it with other suppliers' inspection information, an enterprise can garner better sub-assembly and supplier-matching decisions.