Sentence examples for regularizing data from inspiring English sources

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Using BSML as a common output format has the added advantage of regularizing data by using terms from controlled vocabularies such as the Sequence Ontology (Eilbeck et al., 2005) and Gene Ontology (Ashburner et al., 2000).

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"Going forward, cities, states, and businesses – all will need localized, regularized information delivered to them".

The easiest way on how to overcome this is to regularize the data back before analysis - now with the desired resolution that can be locally much larger than for the coarse image.

Having regularized our data and then calculated the observed deviations that we fit using our SSM (Equations (1) and (2)) we can now be more concise about the measurement error and process error distributions for this particular application.

In order to regularize the data prior to fitting the curves, profiles of patients who discontinued during Weeks 2 7 of treatment were completed using the average of 50 imputed values generated with Bayesian regression fitted to the previous outcomes at every time point past the first week (SAS® PROC MI).

This enables storing more relevant information from a single measurement as the data are interpolated and regularized in the data processing phase instead of during the measurement.

In order to explore the transcriptional and regulatory context of RNA DNA hybrid peaks, regression models were fitted to the data, regularized using the least absolute shrinkage and selection operator (LASSO; [ 66]) with the peak density as the response variable.

The modification to the data term helps further regularizing the solution in textureless regions to guide the optimization to the right solution.

In this paper, to regularize randomly sampled seismic data, we introduce two accelerated, analysis-based two-step interpolation algorithms, the analysis-based FISTA (fast iterative shrinkage-thresholding algorithm) and the FPOCS (fast projection onto convex sets) algorithm from the IST (iterative shrinkage-thresholding) algorithm and the POCS (projection onto convex sets) algorithm.

We achieve this by regularizing the L2-norm of the model parameters using a regularization factor.

The objectives of the present study are to describe to the social particularisations, reasons for consultation and diagnoses conducted in the adult immigrants without regularizing that they went to this doctor's office in the district of Villaverde-Usera (Madrid), excluding the data from obstetricsgynecology and pediatric.

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