Sentence examples for compensate errors in from inspiring English sources
We introduce a corrective function to compensate errors in contact area computations coming from mesh discretization.
Therefore, errors tracked during the HC synchronisation can be used to compensate errors in the RC.
In order to test if ESTScan would also compensate errors in coding regions on metagenomic sequencing reads, we trained an ESTScan scoring matrix on prokaryotic genomes that were also used for training MetaGene and Orphelia.
Compensating errors in Adams's measurements and in Eddington's ideas of the temperature and radius of Sirius B had produced a fortuitous agreement (Sirius B is even smaller than Eddington thought).
They basically are compensated in expenses.
In 1968, BBC Radio Drama bought his 45-minute play Compensating Error, and swiftly commissioned two more.
Therefore, an internal model control structure is proposed to compensate these errors in order to overcome this deficiency where the basic controller is an inverse type-2 fuzzy model.
It is an exclusive Jacob & Co. skeletonized manual wind caliber (JCAM23) with tourbillon escapement to compensate for errors in timekeeping due to the effects of gravity when the watch is in different positions on the wrist.
Nevertheless, our experiments for a posteriori DSPP estimation in the traditional signal domain indicated that the DOA-based a priori DSPP is often insufficient to compensate for errors in the likelihoods (15) occurring due to erroneous (widehat {mathbf {Phi }}_{boldsymbol {u}}) estimates.
Finally, synthetic data had to be time corrected (zero-offset) to compensate for errors in the overall velocity model, source depth, etc. Fault plane solutions of earthquakes occurring in the brittle part of the crust are expressions of the present regional stress field, and how these stresses act on existing structures in the crust.
Evidently, modalities other than language cannot provide as detailed a semantic description as language can, but we hope that, to a certain extent, they can compensate for errors in ASR and NLP and increase robustness and precision of automatically generated semantic links.
