Sentence examples for it does not outperform from inspiring English sources

However, it does not outperform the results of the T-shaped footprint due to the notably higher number of required features.

In this paper, we did not compare with the Agilent Feature Extraction Software [ 38] because it has been shown that it does not outperform the LOESS normalization [ 8].

Interestingly, a recent study that utilized a generalized polychoric coefficient found that it does not outperform the typical polychoric measure in cases where the sample size is smaller than 400 observations and the number of ordinal categories in the response scale is greater than three [ 40].

Performance comparison shows that although CK is a theoretically better estimation method, it does not outperform MSCK and PCK in all cases.

Although the emergence of a wireless technology operating in the gigabits per second range is an advance, it does not outperform current fiber-optic lines, which can still send data much faster.

Our simulations on two and three dimensional cases, with varying number of optimization variables suggest that cubic radial basis functions-based surrogate model is reliable, outperforms Kriging surrogates and multivariate adaptive regression splines, and if it does not outperform, it is rarely outperformed by the ensemble surrogate models.

But even if it doesn't outperform its blockbuster brethren, it demands to be evaluated in a different context.

According to Greenblatt's 17-year back test, this approach would have delivered dramatic stock market outperformance (30.8% per annum), but it did not outperform the market year in and year out.

Finally, use of a derived score to reflect global vascular calcified plaque allowed for improved precision when predicting outcome although it did not outperform the established predictor CAC.

Ascites levels of IL-6 allowed most accurate discrimination (AUC = 0.905, 95 % CI: 0.850 0.960) between EOC patients and benign controls although it did not outperformed serum CA125 (AUC = 0.951, 95 % CI: 0.906 0.996) (Fig.  1i and j).

Currently, the predictive power of the polygenic signals is quite limited: It mostly does not outperform traditional risk factors such as family history and is unlikely to improve dramatically in the near future.