Sentences with phrase «not improve prediction»

Adding other SVD markers or SVD burden score, however, did not improve prediction.

Not exact matches

With more information, accuracy didn't improve at all, but the experts» confidence in their predictions was much higher.

It has been relegated to many narrow use cases involving pattern recognition and prediction (some of which are very valuable and useful, such as improving cancer detection, identifying financial risk and fraud, and other high performance computing applications), but it has not developed a general «understanding» of human interactions, human emotions, speech patterns and human responses to information.

My prediction is that even with well - intended calls for transparency this situation will not improve.

«I'm not surprised prediction is running into difficulty in the Sierra Nevada but I'm hopeful the work we're doing now to improve data from this terrain will help improve prediction here.»

But even, in some cases, short of that sort of thing, there are fascinating questions about whether or not we can use this knowledge to improve our prediction of things like earthquakes and whether or not we can find ways to be able to sometimes use some of these phenomena to our advantage, so things about like with volcanoes being able to use those for geothermal energy, that sort of thing.

The impact of these results is wide - reaching, and Dr Pullen suggests that it may even change how we think about global climate data: «Climate models need to incorporate genetic elements because at present most do not, and their predictions would be much improved with a better understanding of plant carbon demand.»

However, the gamers are shown the molecules that worked and those which did not, allowing them to improve their predictions in the future.

«This ground - breaking work is not only helpful for women from families with many cases of breast cancer, it will improve breast cancer risk prediction for all women, and pave the way for the development of epigenetic therapeutics for breast cancer.»

Not all in the genes One of the keys to improving disease risk prediction will be to collect even more comprehensive information from study subjects and individuals.

We've known that they couldn't all be perfectly round, but this study demonstrates you can use these derived values and improve predictions for more accurate models by accounting for differences in properties at different sizes and types of particulate matter.»

«Using improved computer software, we have enhanced gene predictions and secondary metabolite gene cluster predictions in both species to a level not found in most other filamentous fungal species,» says Robert King, the team's lead bioinformatician at Rothamsted.

It turned out, adding those variables did not improve the accuracy of their predictions in a statistically meaningful way, compared to their predictions based on fitness alone.

We would argue that these predictions are then often used in ways which ignore their limitations; they contribute significantly to workload but don't significantly improve pupil learning.

Although the combination of measures improves classification accuracy in a prediction model, in practice, it is difficult to discern the combination of cut scores and patterns of performance that would identify a student as at risk for not passing the criterion measure.

I have read some predictions for the death of the e-reader based on the assumption that battery life for tablets will improve to the extent that they will approach battery life for e-readers, but so far I haven't seen any evidence of that occurring.

But when it comes to takeaways that can improve your retirement planning and investing, I think there's one big lesson we should all draw from 2016: Don't let the constant flow of predictions and prognostications about the markets and the economy — no matter how prescient they may seem — divert you from a comprehensive plan designed to achieve success over the long - term.

Weather models develop in ways that improve the short term predictions — but aren't necessarily optimal for long term statistics.

But for journalists and others who are not climate scientists, some narrative would help, as inline text and more clarification as footnotes if needed including, cover for example: — being very clear for a graph what was being forecast (people play silly games with Hansen, confusing which was BAU)-- Perhaps showing original graph first «This is what was predicted...» in [clearly a] sidebar THEN annotated / overlayed graph with «And this is how they did...» sidebar — placing the prediction in context of the evolving data and science (e.g. we'd reached 3xx ppm and trajectory was; or «used improved ocean model»; or whatever)-- perhaps a nod to the successive IPCC reports and links to their narrative, so the historical evolution is clear, and also perhaps, how the confidence level has evolved.

There are some source of predictability that are still not fully resolved (including those dealing with improving climate models, but also related to unexplored initial conditions or driving conditions), and a great benefit of these predictability studies is that they mimic the practice of weather prediction by confronting models with observations at the relevant time and spatial scales, leading to the necessary inspiration for this model improvement.

The mean bias and ensemble spread relative to the observed variability, which are crucial to the reliability of the ensemble distribution, are not necessarily improved with increasing scales and may impact probabilistic predictions more at longer temporal scales.

No progress in cloud research implies GCM predictions won't improve.

However, they do not show improved accuracy with decreasing prediction range.

Landscheidt was not totally correct in his prediction but was very close, but more importantly he provided the foundation that spurred on science to a much greater understanding and improved predicting skills that allow us to accurately predict this grand minimum and any future grand minimum

Following on from my prediction of what would NOT be in the NHHRC's interim report (see earlier Croakey post below), I was unfortunately right — even if some of the proposals, especially on one - stop shops for primary care and improving equity, are good.

Still other studies can not be used to test the predictions of GS theory because the home - based intervention was combined with a school - based intervention — a method that can improve the child's behavior in both places but that makes it impossible to assess the effects of the home - based intervention on the child's behavior in school.

From propositions I will discuss later, GS theory generates the following prediction: Home - based interventions aimed at improving parents» child - rearing style can improve children's behavior at home, and school - based interventions can improve children's behavior in school, but home - based interventions will not improve children's behavior in school.

However, intervention duration was no longer a significant predictor of effect size in the multiple moderator model, which implies that intervention duration does not make a unique contribution to the prediction of effect size above follow - up duration (in months), and whether or not interventions were a parent training intervention, a substance abuse intervention, and focusing on improving parents» self - confidence.