Sentence examples for frequent parallel from inspiring English sources

For Tim Parks in the London Review of Books, "One can only admire the patience and resourcefulness with which Swift constructs all his interconnections (the frequent parallel between culled cattle and slaughtered soldiers is another), but the narration is more effective when straightforward... Still, the relationships between the main characters are convincing, and they are the core of the story".

However, the frequent parallel (sensu [ 17], given the close relationships) evolution of troglomorphic traits (see below) suggests that directional selection may be operating on cave-associated morphologies.

Chromosome 11q loss (with frequent parallel loss of chromosomes 3p, 4p and/or 14q) was found exclusively in tumours without MYCN amplification and was significantly associated with poor event-free survival.

For the frequent parallel variants described here (at least 20 25% of all recent point mutations), SNP formation is approximately 9 orders of magnitude greater than expected on a stochastic basis.

If the ancestral state of rattlesnakes involved a switch between type II venom in neonates to type I as adults, such as is currently seen in C. simus[ 10], paedomorphism could provide a simple mechanism for frequent parallel evolution [ 33].

Louis Begley, in his recent book "Why the Dreyfus Affair Matters," drew frequent parallels between the tampering with judicial procedures that occurred in Dreyfus's case and the judicial excesses of the Bush administration.

Yet the complementarity of these fields and the utility of studying genes and metabolites together is belied by the frequent separate, parallel applications of genomic and metabolomic analysis.

Parallel frequent pattern discovery algorithms exploit parallel and distributed computing resources to relieve the sequential bottlenecks of current frequent pattern mining (FPM) algorithms.

In 2008, Li [24] proposed an association rule mining algorithm called as PFP (Parallel Frequent Pattern).

The algorithm determines in parallel frequent items, i.e., those whose frequency is greater than a given threshold, and is therefore useful for iceberg queries and many other different contexts.

This survey also indicates a dramatic shift of the research interest in the field from the simple parallel frequent itemset mining on traditional parallel and distributed platforms to parallel pattern mining of more complex data on emerging architectures, such as multi-core systems and the increasingly mature grid infrastructure.