Sentence examples for predictions even with from inspiring English sources

Results show that, when compared with other available criteria, the error rate of our BN is among the lowest, but with the advantage that it is able to provide predictions even with incomplete data.

For PTDs, Barnacle makes no false positive predictions, even with a threshold of 1 read, so increasing the threshold merely removes weakly expressed true positives.

Although this procedure is efficient for identifying multiple entities in text, it may produce incorrect predictions even with our assumption that a positive document has multiple evidences at the sentence level.

CONCLUSIONS: While the use of retail purchases may improve the discriminative ability of claims-based approaches, these data alone appear inadequate for adherence prediction, even with the addition of more complex analytical approaches.

Kriging meta-model became one of the most promising approach, mainly because of its accurate prediction (even with a relative few points for fitting) and statistical interpretation that allows one to build an estimate of the potential error.

And further changes to A-level courses over the next few years are likely to make predictions even harder, particularly with the removal of AS-levels as part of A-level courses, which has led to some schools dropping them altogether.

Despite this, ETA network diffusion gives accuracies higher than BLAST in the high confidence interval, demonstrating the effectiveness of the z-score for distinguishing the correct predictions, even when faced with less reliable matches.

Since with GLEAN we did not need to filter ab initio genes based on InterPro, it might allow the genome-conservation-based N-SCAN dataset to provide support for other ab initio predictions even without detectable conservation with known InterPro domains.

In addition, spatial models for black smoke and sulfur dioxide in the United Kingdom provided reasonable predictions, even going back to the 1960s, with a correlation between 1962 and 1991 concentrations of 0.53 for black smoke and 0.26 for SO2 (Gulliver et al. 2011).

Furthermore, by comparing LT-D with SHT-D, applying long-term predictions even without considering prediction uncertainty can lower VM SLA violations.

He is not afraid to make predictions, even wrong ones.