Sentence examples for by this algorithm were from inspiring English sources
Subsets selected by this algorithm were previously employed as external validation sets in QSAR modeling [24, 25, 41, 44].
The number and duration of pauses missed by this algorithm were inferred by fitting the pause durations to a single exponential with a maximum likelihood estimator.
All variables selected by this algorithm were included in a final model in order to get odds ratio estimates with the corresponding 95%% confidence intervals (Table 4).
The reliability and accuracy of this algorithm were demonstrated by simulation and experimental results.
Moreover, various tools for interpreting the fuzzy partition and fuzzy clusters provided by this algorithm are also presented.
The outcomes gained by this algorithm are in excellent concurrence with the exact solution and hence proved that this algorithm is effective and easy.
The parameters estimated by this algorithm are: pore size distribution, porosity, pore symmetry, regularity and tortuosity, as well as various statistical measures.
The experimental results show that the curve skeletons extracted by this algorithm are faithful and smooth, and they can be well utilized in many fields.
For the smooth temperature field both with and without obstacles, the reconstructions produced by this algorithm are good, both visually and using quantitative criteria.
It is obvious that the results found by this algorithm are not necessarily optimal if the problem is not concave.
