Sentence examples for more algorithms aimed from inspiring English sources

Hybrid approach is the combination of two or more algorithms aimed to retain the advantages and eliminate the weaknesses of the original algorithms.

Most standard fitting routines get "stuck" at local minima, and even more sophisticated algorithms aimed at finding the global minimum are not very useful, because the difference between the global minimum and many runner-ups is usually insignificant and cannot serve as an indicator of the "right" or "best" fit.

We are currently investigating complex bioinformatics algorithms aimed at compensating for this natural frequency variation from WGA profiles to enable more confident copy variation number calling.

In contrast to short-read alignment algorithms that tend to maximize global alignments, longer-read alignment algorithms aim to find local matches because longer reads are more prone to structural variations and map over misassemblies in the reference sequence.

While these LR algorithms aim to find a unimodular matrix such that the channel matrix is more orthogonal.

These dosing algorithms aim to predict the expected maintenance dose.

Considering the limitations of LR correction programs and the high error rates in PacBio reads, we propose here a new hybrid correction algorithm aiming at more efficiency.

Since ordering of search space in our MCS algorithm aims at more quickly improving the candidate solution at an earlier age, the result of progress optimization will be close to the optimal result at an earlier stage and it will stabilize sooner to an acceptable result.

The algorithm aims to put more links to sleep without affecting the load balancing requirements.

However, in the case of tissue and blood genomic data, the output from the SAM algorithm constitutes the best performing gene subset, and further feature selection does not ameliorate the results; this is more or less expected since the SAM algorithm aims at finding those genes that differ the most between the two target classes, and therefore bear enhanced discriminating potential.

The aim of study was to identify one or more algorithms (descriptions of how to solve a problem in a definite number of steps), which could be used to support optimum drug therapy in any disease.