Sentence examples for adapted accuracy from inspiring English sources

Finally, two recent studies (Dima et al., 2011; Held et al., 2011) presented two rigorous comparisons of algorithms developed for the segmentation of fluorescently labeled cells from static 2D images, using their own image repositories and adapted accuracy measures.

For example, processing inaccuracy averages at length 5.14 ± 4.10 for intergene spacers next to antisense tRNAs processed at their 5' extremity, and 3.6 ± 2.61 for those not processed at that extremity, which is not statistically significant (t = 0.7, two tailed P = 0.51) and does not fit the prediction that 5' processing is adapted for accuracy.

One major advantage is the model adaptive accuracy which consists of adapting models from generic to complex ones based on physical hardware experiments.

Nevertheless, the imperfections of the noise model are compensated by the iteration process which adapts the accuracy constraint.

This will permit us to enhance the power/energy estimator to better adapt tool accuracy to reality.

Contrary to the power limiter of [15] which influences only second-order derivatives, the UNO limiter fully adapts the accuracy of our proposed polynomial reconstruction to the approximated profile.

The key idea of this heuristic is to adapt the accuracy of the MIP solver to the difficulty of the MIP at hand in order to spend less time for the precise identification of the most time-consuming solutions (the solutions at the right end of the Pareto front).

To summarize the results of this section, we show that prior force field adaptations influenced adapted trajectory but not accuracy during later adaptation to visuomotor rotations.

We use in our evaluation the adapted measures of accuracy and F1 score proposed by Tsoumakas et al. [ 55] for evaluating multi-label classification.

The quality of the booking history was enhanced by use of a carefully structured questionnaire and a laminated drinks chart designed to record alcohol intake and pattern of use with greater accuracy (adapted from Royal College of Psychiatrists guidelines) [ 12].

In our paper, we mainly focus to see how Deep Learning can assist with sentiment analysis in StockTwits data and which Deep Learning algorithm can be adapted to improve the accuracy of sentiment analysis in StockTwits in compare to data mining models.