Sentence examples for of multiple runs from inspiring English sources

Exact(14)

However, the requirement of multiple runs substantially increases the synthesis time.

Novel techniques of multiple runs for model development and surrogate data analysis for model validation are suggested for prediction of biomedical outcomes based on small datasets for classification and regression tasks.

Because of the heuristic and the stochastic nature of the docking process in GOLD [31], we defined a "safety margin" of ±0.05 resulted from the deviation of multiple runs representing a non-significant change of ΔpROC-AUC ΔpROC-AUC], and to avoid over-interpreping small changes in docking performance.

Important features such as the reduction of the catalyst active species using H2 instead of unfriendly environmental chemicals, mild reaction temperature and pressure employed, and the possibility of multiple runs using a single portion of the catalyst are in good agreement with important green chemistry principles such as atom economy and design for energy efficiency.

We found, by visual comparison of the posterior means of multiple runs that 2,000 iterations were sufficient to achieve convergence.

All 5 metrics rely on the so-called accumulation curve, Fa k), where the subscript "a" stands for active molecule, which represents the count, possibly normalized, of how many true binders obtained a rank better or equal to a given one in a docking run; Fa(k) contains all the information needed to assess the performance of a run, and a combination of multiple runs as well.

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Similar(46)

The consensus cluster algorithm is based on an averaging procedure conducted on multiple runs of K-means clustering (see " Methods").

Scrambled-QMC has been utilized to obtain the error bounds of the estimation, thanks to multiple runs of randomized sample sets.

The error bars represent the 95% confidence interval of the multiple runs.

Convergence of the multiple runs was checked using Tracer v1.7.1 [ 43] and the ESS values were well above 200 for each run.

The proposed HMM based Text Miner on average yielded an F-Score of 0.76 across multiple runs of a 10-fold cross-validation on the manually annotated data set.

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