Sentences with phrase «useful predictions in»

Although it is limited to analyzing fix - rate mortgages, it can be very handy for analyzing your current state, and making useful predictions in case you want to sell your home later.

Not exact matches

Machine learning, on the other hand, results in predictable responses and useful predictions.
Well, we thought it would be useful to review everyone's predictions for marketing in 2014, and it turns out that more than a few were spot on (or close enough that we'll count it).
There are also limitations to using binary options in Singapore; some of these limitations arise from the technical part of the activity and the requirement for general information regarding the trends in global finance market prices to make better and useful predictions.
As we've mentioned it previously, CandleStick charts are essentially a form of grid or graph that display short - term and long - term market changes of an asset or asset, and aid in the development of making responsible, practical market predictions to maximize ROI — one of many useful broker tools available!
Check the match preview, betting tips, useful info and football predictions for the match between Newcastle vs Arsenal in Premier League.
Check the match preview, betting tips, useful info and football predictions for the match between Juventus vs Napoli in Serie A. Juventus vs Napoli Match Preview It is the biggest game of the season in Italy as the top - of - the - table clash between the top two sides is -LSB-...]
Check the match preview, betting tips, useful info and football predictions for the match between Tottenham vs Manchester City in Premier League.
Check the match preview, betting tips, useful info and football predictions for the match between West Bromwich Albion vs Liverpool in Premier League.
Check the match preview, betting tips, useful info and football predictions for the match between Southampton vs Chelsea in Premier League.
Check the match preview, betting tips, useful info and football predictions for the match between Brighton vs Tottenham in Premier League.
Check the match preview, betting tips, useful info and football predictions for the match between Bournemouth vs Manchester United in Premier League.
Check the match preview, betting tips, useful info and football predictions for the match between Arsenal vs West Ham United in Premier League.
For instance, knowing the number of attendees and exits in a closed location is useful for prediction panic in an emergency case (like fire or shooting).
«When used in conjunction with forecasted data, the model predictions could be useful for focusing both surveillance efforts, and the pre-positioning of material and equipment in areas and periods of particularly high risk.
Although useful for making short - term predictions, these models provide little insight into how the higher education system evolves in response to external changes.
It's also useful in cosmology and charting the far reaches of the Milky Way, weather prediction and climate change modeling or even aerial reconnaissance missions for national defense.
Depletion of useful materials has often prompted predictions of doom, but as Richard Webb argues, we need not worry in the long term
It's a well - established theory that makes useful predictions that are widely used in fluid dynamics.
He's optimistic that better forecasting for chikungunya could also be useful in informing predictions about other mosquito - borne diseases, such as dengue fever.
The authors conclude that there are many applications for which using the I - score would be useful, for example in formulating predictions about diseases with high dimensional data, such as gene datasets, in the social sciences for text prediction or financial markets predictions; in terrorism, civil war, elections and financial markets.
In the current study, prediction analysis of gene expression data was implemented in order to identify the genes that are most useful to determine the state of cyclic changes in locomotor activitIn the current study, prediction analysis of gene expression data was implemented in order to identify the genes that are most useful to determine the state of cyclic changes in locomotor activitin order to identify the genes that are most useful to determine the state of cyclic changes in locomotor activitin locomotor activity.
But some ocean patterns in the climate system can persist much longer, and understanding them can help make useful predictions for regional and global averages that don't depend so much on specific weather patterns.
Exactly where this experiment takes us and how the blog will turn out to be useful (or not) is one of those prediction problems we so dearly love in machine learning.
A total of 40 questions for Algebra 55 pages in total with answers These practise questions have been carefully selected and generated as a prediction for the actual exam in June 2016 These questions are very useful for revision in preparing the students for success on the paper....
For example, O'Connor et al. (1999) with the aim to identify risk factors associated with in - hospital mortality among patients undergoing percutaneous coronary interventions demonstrated that with the use of multivariate prediction / analysis the calculation of the risk of in - hospital mortality after a percutaneous coronary intervention was feasible and accurate, and may be useful for patient counseling and for improvement of quality purposes.
Exactly where this experiment takes us and how the blog will turn out to be useful (or not) is one of those prediction problems we so dearly love in machine learning.
Whilst bets are of no use in determining the underlying physical reality, they are very useful in sorting out people's real level of confidence in their predictions.
Bets like this are useful ways of examining confidence in predictions — any trivial wager would be accepted immediately since there is nothing to lose, while having it be something more substantial requires reflection on the benefit of accepting (public respect) vs the probable loss.
Scenarios are not predictions of what will happen, but they can be useful tools for researching a wide range of «what if» questions about what the world might be like in the future.
«This work offers a more statistically - driven assessment that allows us to quantify the predictions and offer a confidence interval that could be useful in planning.»
Another advantage of forecasting long - term is the prediction doesn't have to be as accurate as a short - term forecast in order to be useful.
People in the strong warming camp think you can make useful long term climate predictions from seriously flawed models.
The key to deciding if these models are useful, because they do produce something that might appear to be similar to a cardiac arrhythmia, and so could be said to produce a useful result, is that they can be falsified on the basis of specific predictions such as implying a range of conduction velocities within the heart that have never been measured in real life or that an arrhythmia can persist in a small piece of isolated tissue when all the experimental evidence suggests that a minimum volume of tissue is required to support an arrhythmia.
a) There isn't enough data to do this, in which case I would suggest that the huge range of sensitivities mean that sensitivity is not a useful measurement to make short term predictions.
However, to understand the large scale patterns in climate and their changes and drivers, climate models are not only useful, but increasingly necessary to make skillful predictions for the future.
For a useful critique of model - starting - points which bear no relation to the real - world, see: D. Koutsoyiannis et al (2008) «On the credibility of climate predictions» in Hydrological Sciences 53 (4) August 2008 671-684, who conclude that the GCM models defy normal assessments of validity and should not be relied upon to predict future climate change.
I'll take you at your word that the lessons sank in, but given that, why do you persist in discussing current rates of SLR as being somehow useful in evaluating the predictions of ~ one meter of SLR by ~ 2100?
The preconditioning and the state of ice cover in spring is clearly useful for prediction, even if we can't predict the weather patterns.
With this in mind, our new insights into tropical cyclone formation that we discuss in our «Physics of the Earth's atmosphere» Paper 2 (see here for a summary) should be useful in improving cyclone prediction.
Furthermore, if ONE Global Climate Model was verified — if it produced useful predictions (that's in advance and all...: — RRB --RRB- I'd be impressed and more likely to consider it a useful tools in unravelling our climate, assessing risk benefits, and in making policy decisions.
Research on forecasting has shown that experts» predictions are not useful in situations involving uncertainly and complexity.
There's still a lot of work to be done in making useful predictions, however, which is why I think it's perfectly reasonable to say both «anthropogenic climate change is a thing» and «we still shouldn't take any drastic actions to combat it until more is known about the consequences».
(2) If the answer is yes, i.e. we already have what we need in terms of raw observational data, is it an accurate summary of your position to say that achieving these useful predictions of future climate behavior is simply a matter of applying an appropriate and scientifically defensible series of analytical techniques?
f) Useful analytical tools for use in Climate Science yet unfit for predictions of the future climate?
Linearity can be a useful approximation for short - term effects when changes are small as in some weather forecasting, but certainly not for the long - term predictions from climate models.
Through an evolutionary game - theoretic model of collective prediction, we investigate the role that incentives may play in maintaining useful diversity.
The subhead, Why scientists find climate change so hard to predict, is even worse as it tars current scientists with the same brush, yet the article doesn't address current prediction challenges in any useful way.
See also this article in Nature on why we can't make useful predictions.
The hope is that one can reduce the initial condition uncertainty for predictions in some useful way, though this has yet to be demonstrated.
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