Sentence examples for problem of standards from inspiring English sources
If the problem of standards were overcome, Global Positioning System readings would probably be added to the mix of data collected by automobile telematic systems.
Many themes emerged from the focus groups: approaches for defining health-related quality of life and difficulties of utilization, the role that health-related quality of life should have in the system of care, the problem of standards and evidence-based decision making.
The major problem of standard fractal coding is time consumption compared with other methods of image coding.
On the other hand, the reason, why the ripples for (IV) become harder than others, is considered as an over-fitting problem of standard linear programming.
Helander et al. [20] proposed transforms based on partial least squares (PLS) in order to prevent the over-fitting problem of standard multivariate regression.
As stressed in the opening sentences of this contribution, the most serious problem of standard quantum mechanics lies in its being extremely successful in telling us about what we observe, but being basically silent on what is.
The QCD axion is an hypothetical particle introduced to solve the strong CP problem of standard model of particle physics and is of interest as a possible component of cold dark matter.
StepPLR and lassoPLR make some modifications to avoid the overfitting problem of standard logistic regression when detecting epistatic interactions [ 15].
The 'randomized lasso' decorrelates variables and therefore addresses the model selection inconsistency problem of standard lasso in the presence of correlations between relevant and irrelevant variables.
Conditional inference trees were proposed to overcome a serious problem of standard CART and RF algorithms, namely that variables offering more cutpoints are artificially preferred in variable selection.
30 We did not use Egger's test owing to the statistical problem of standard error of log odds ratio being mathematically linked to the size of log odds ratio, even in the absence of small study effects.
