Sentence examples for a fuzzy match from inspiring English sources

The phrase "a fuzzy match" is correct and usable in written English.
It is typically used in contexts related to data matching, search algorithms, or comparisons where the match is not exact but still acceptable.
Example: "The search algorithm returned a fuzzy match for the query, allowing for slight variations in the input."
Alternatives: "an approximate match" or "a close match".

Exact(1)

Durrett and Schmidt (2007) revisited the question while accounting for dependencies present in the population due to common descent, and found that the average time for an 8-bp binding site to appear in humans can range between as little as 60,000 years and as much as 650 Myr, depending on whether a perfect match is required or a fuzzy match suffices, and on whether a partial match pre-existed.

Similar(59)

A fuzzy matching mechanism based on energy distribution pattern strings serves as a filter to quickly remove undesired images in the database from further consideration.

At the first stage, a fuzzy matching process based on EDP-strings is performed and serves as a signature filter to quickly remove a large number of non-promising database images from further consideration.

Maurya et al. [31] also proposed an interval-halving method for trend extraction and a fuzzy matching based method for similarity estimation and inferences.

Coemans et al. [ 34] also used a fuzzy matching procedure to annotate 19% of the SAGE tags generated in Musa acuminata, whereas 63.3% of our processed tags were annotated by fuzzy matching.

In many cases, it is difficult to be sure whether these entries do reflect the same individual, and we did not add a fuzzy matching component to our routine pipeline, although for some applications this will prove helpful, with or without a manual curation step.

MicroRNAs bind through a complementary fuzzy match to target sites in messengerRNAs.

A further 908 tags were assigned to a UniGene in this way, resulting in a total of 4,419 unique tags (83% of those processed) assigned to a UniGene in one of the four categories; forward perfect match, forward fuzzy match, reverse perfect match, reverse fuzzy match.

To infer the presence of a particular bop in a strain that has been experimentally optically mapped, it is only necessary that that the experimental optical map contains a restriction fragment that fuzzy matches a fragment in the in silico map of a sequenced genome.

The second problem is ameliorated with a method called "Fuzzy Matching".

Finally, all these tools only support a subset of fuzzy matching rules.

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