Sentence examples for achieved the same level of accuracy from inspiring English sources

Exact(1)

In other words, at least one other method has achieved the same level of accuracy as the ZG04 method.

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Basically, the company says it can achieve the same level of accuracy as LiDAR.

The result suggests that predictions using RFBC can always achieve the same level of accuracy by increasing the sample size.

The new study was performed by a group of researchers at Microsoft AI and Research with the goal of achieving the same level of accuracy as a group of human transcribers who were able to listen to what they were transcribing several times, access its conversational context and work with other transcribers.

Experiments show that compared to a random sampling strategy, the proposed supervised sampling method significantly reduces the number of samples needed to achieve the same level of accuracy, even when the training image is not optimally chosen.

Not including the cost of sampling the design space and building the KL model, the KL least-squares method requires less than half the central processing unit time as the pseudospectral method to achieve the same level of accuracy.

The fact that the former can achieve the same level of accuracy as the latter suggests that the dilation erosion procedure is tantamount to incorporating appreciably more topological and geometrical information into the reconstruction while being much more computationally efficient.

In practical terms, a higher-order method with a larger stepsize can achieve the same level of accuracy as a lower-order method with a smaller one, potentially reducing the computational time of the system.

It is not surprising that measurements from the Project, which at times processed > 7,000 samples per month, would not achieve the same level of accuracy as federally funded projects with smaller sample sizes and smaller ranges of exposure.

Thus, assuming constant and known values for sens1 and sens4 for the population, we see from the previous derivation that pooling is much more efficient, allowing for reading half the slides to achieve the same level of accuracy.

For the imputation of rare variants, Impute2 was always inferior to FImpute and to Beagle despite the fact that Impute2 gave very high overall accuracy for scenarios A and F. Impute2 would need a much larger reference group to achieve the same level of accuracy as FImpute or Beagle.

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