Sentence examples for remarkable predictive from inspiring English sources

The greatest challenge for A.I. is not the slow progress in top-down intelligence but the lack of attention to teaming intelligence that would allow the pairing of humans' remarkable predictive powers with A.I.'s superior bottom-up analysis of data.

Validation of the blend on an experimental campaign of open-hole tensile tests shows remarkable predictive capability, in good conformance to experimental failure loads, digital image correlation and acoustic emission measurements - particularly yielding more realistic damage patterns than state-of-the-art continuum damage model implementations.

In short, the FIM have shown remarkable predictive ability and outperforms other three approaches in our data set.

Thus, from this microarray set we obtain upregulated expression networks with remarkable predictive power pointing to iron and methionine starvation in Q56-YFP producing yeast cells.

The five-fold cross validation results show that the proposed model can get higher AUC score (92%) than three prevalence algorithms CS-PD (80%), BLM-NII (85%) and RF (85%), demonstrating the remarkable predictive ability of FIM.

During the last two decades, minimal residual disease (MRD) in childhood ALL had been proved to be a remarkable predictive factor and already become an integral part of risk stratifications in many long established leukemia groups [ 19– 24].

It has been shown by various authors that red flags like age >50 years, focal-neurological signs, thunderclap onset of symptoms or altered mental status have a remarkable negative predictive value around 0.98 0.99, however with varying sensitivities (between 0.39 and 100%) and specificities (between 65 and 98%) [7 11].

However, an allelic imbalance of TP73 was the most remarkable independent predictive factor of poor patient survival (P=0.0002, risk ratio: 3382).

This result is particularly remarkable because the predictive accuracy depends on not just the means but also variances.

The ADGs and Rx-MGs combined model had a remarkable improvement in predictive R-square after adding the predictor of prior medication cost.

This set of data, therefore, establish PI3Kγ-deficient mice as a mouse model for ADHD with remarkable face and predictive validity, which largely compares to the best genetic mouse models reported so far (Leo & Gainetdinov, 2013).