Sentence examples for heuristic tends from inspiring English sources

Depending upon the type and extent of heterogeneity, performance of an algorithm is found to degrade with heterogeneity as the penalty imposed for any injudicious move on the part of heuristic tends to be more severe for heterogeneous computing environment in comparison to its homogeneous counterpart.

However, we found that, on biological data, the third algorithm augmented with a few heuristics tends to identify DPs that are significantly smaller (and therefore more biologically plausible) than the former two algorithms (see Methods for details).

Such exact-match heuristics tend to have high specificity but low sensitivity in detecting true matches, especially when data quality problems such as missing values, entry errors and deceptions are present.

Importantly, heuristics tend to dominate when the clinician is fatigued or under time pressure.

In contrast, the heuristics based approach migrates whenever there is a problem (i.e. host/PM overload or host under-load); however, a problem may be detected without there being a solution to which it is worthwhile to adapt, and hence the heuristic approach tends to over-adapt.

The belief propagation algorithm used for decoding is only an approximate heuristic, and tends to oscillate as the number of carriers increases.

Although rules of both kinds deal with principles of good reasoning, heuristic rules tend to be merely suggestive rather than precise.

Other cognitive biases may occur because of the "availability heuristic", which states that reasoning tends to be based on immediately available information.

A recent region-based approach adopted a more sophisticated approach that borrows information from surrounding SNPs, although it tends to rely on heuristic measures such as the proximity to specific genomic features (eg, known genes, evolutionarily conserved regions and haplotype blocks) for defining SNP clusters.

And despite its appeal to scientific rigor, it tends to prefer simple, strong, heuristic rules — like that plaintiffs must lose if they lack extraordinary evidence of market power.

Although the resulting allocation problem is an NP-hard knapsack problem, it is usually small enough to be computationally tractable and also tends to be amenable to fast heuristic solutions [2, 3].