Sentences with phrase «model predicting whether»

For example, one model predicting whether someone is Hispanic based on factors like last name and location was only correct about two - thirds of the time.

Not exact matches

When the world's largest holding company posts its biggest stock decline in almost two decades and predicts no growth for 2018, there will inevitably be questions over whether the holding company model is irreparably broken.

Until now, there have always been separate physical models for threads and spheres, which would predict in each case whether the resulting solution would be liquid or glassy.

«Computational models like this one might one day be able to predict the clinical course of a disease or injury, as well as make it possible to do less expensive testing of experimental drugs and interventions to see whether they are worth pursuing with human trials,» he said.

Computer models can predict with 95.6 % accuracy whether a man or woman is typing, according to a new study.

The study, which is published today in Scientific Reports, used a mathematical model that takes into account whether people are naturally more of a morning or evening person, the impact of natural and artificial light on the body clock and the typical time of an alarm clock, to predict the effects of delaying school start times.

His job is to predict what the LHC will find and then try to explain the results, whether they confirm his models or force him to throw up his hands and start over.

A mathematical model can predict whether a marriage will end in divorce, report researchers at the University of Washington in Seattle.

He sees the capability of using the team's research in the future to design models that will help game managers, conservation managers, farmers and tour operators predict animal migration, whether it's zebras or other migratory animals.

Researchers now can run more accurate simulations based on the ramp model to predict where the shaking will be strongest, and whether they would expect a tsunami.

Chemistry PhD candidate Richard Li, computational nano / bio physicist Rosa Di Felice, quantum computing expert and Viterbi Professor of Engineering Daniel Lidar along with computational biologist Remo Rohs sought to apply machine learning to derive models from biological data to predict whether certain sequences of DNA represented strong or weak binding sites for binding of a particular set of transcription factors.

The students studied various models trying to predict whether an exoplanet might have plate tectonics, but found little in scientific literature on how to directly detect tectonic plates.

After chronicling the different shifts of decomposers on the mice, and seeing the same shifts operating on the humans, the researchers built a computer model using the mouse data to see whether the microbial composition could be used to predict times of death, using the humans as a test case.

For example, this could mean investigating whether the predicted universal relation is valid qualitatively or quantitatively for the same type and different type of quantum phase transitions occurring in other models than that considered here.

«Of course, we can not predict individual rainstorms in California and their local impacts months or seasons ahead, but we can use our climate computer model to determine whether on average the next year will have drier or wetter soils or more or less wildfires.

«He used that knowledge to create a model that can predict whether a material will be a good electrolyte.

«If theoretical concepts, membrane models, and cell experiments move closer together and encourage a common language, we will also improve our ability to predict whether the materials we design will achieve their intended purpose.»

That has implications for genetic models that predict how likely it is that members of a family will inherit a trait, whether it's a disease such as schizophrenia or a physical trait, such as height.

The team then asked this minimal model set to predict whether knockdown of a specific transcription factor would maintain the stem cell state or prompt differentiation.

«The idea was, now that we can make a patient - specific model with this tissue - mimicking 3 - D printing technology, we can test how the prosthetic valves interact with the 3 - D printed models to learn whether we can predict leakage.»

Jun. 14, 2017 — A PET probe that detects the amino acid glutamine predicts whether tumors respond to certain targeted therapies in preclinical animal models.

Their models can also accurately predict whether or not a subject has HD using only brain images.

We analyse that data, get feedback as to who within that data are the scammers and who aren't, and then use that information to build models, which we can then use to predict whether a new user is likely to be a scammer or not, based on previous users.»

The authors appear most concerned about the usefulness of the predictive economic models (whether the models were able to correctly predict the results observed in the date mined).

The primary question we asked when developing eHarmony was whether the scientific study of married couples could lead to models which «predict» marital success.

Specifically, we ran a statistical model that used the last grade served by the school that a student attended in grade 3 to predict whether the student attended a middle school.

Whether it's playing a game that predicts the outcome of certain actions or using role play to test out new techniques, the flipped model allows better retention through experience, teamwork, and peer - based learning.

A teacher's observation scores are supplemented by a so - called «value - added» rating, which is calculated by determining whether a teacher's students made greater gains on standardized tests than statistical models would have predicted.

Although it remains to be seen whether the eBook subscription model can predict the future of reading, next year's competition will be a phenomenon to watch due to enormous addition of new eBooks to be automatically fed into paid subscribers» devices.

Although credit scoring is complex, most credit scoring models involve predicting whether a consumer will default on an account 90 days or worse.

Remember that the purpose of the FICO model is to predict whether or not a consumer will be a ’90 day late» payer.

A client called yesterday, and asked one of my colleagues whether I could create a model that predicted corporate events.

Like it's popular price prediction model for flights, Hopper's hotel feature will help predict whether room rates at specific hotels will rise or fall.

There are probably at least two duration - related disputes on the slowdown: whether it (assuming «it» is real) was predicted by models (and whether the models should be culpable for not predicting it, our assessment of their quality impacted, etc.); and whether the trend is «significant».

Discussing semantics over whether climate models are seperate in nature to Weather models does not improve our capacity to define / predict the past nor future climate conditions.

Here's my uneducated question — while I respect Gavin's comments about not abusing the science, it seems to me that many measurable indicators of climate change are (to the extent I can tell) occurring / progressing / worsening faster than predicted by most models, whether we're talking about atmospheric CO2 levels, arctic ice melting, glacial retreat, etc..

The important thing is whether the observed increase is in the range yielded by the models used to predict the future, and there it's clear that the spread of model results covers the territory.

This can involve «perfect model» experiments (where you test to see whether you can predict the evolution of a model simulation given only what we know about the real world), or hindcasts (as used by K08), and only where there is demonstrated skill is there any point in making a prediction for the real world.

Systems can switch from one state to another quite abruptly, and one might ask whether such sudden state changes are predicted by the climate models.

So, the question of whether or not more of these clouds would be formed, along with the question of their net effect (given that they reflect sunlight from above, but also trap heat from below), gives rise to some degree of imprecision when it comes to the degree of warming predicted by models.

We don't need climate models to tell us that Mother Nature has plenty to throw at us, whether or not the planet warms as predicted.

These differences between projected and observed trends in rainfall seem to raise serious questions about the ability of the models to predict changes in rainfall — though Iâ $ ™ d be interested in CSIRO views, especially on whether it is appropriate to use successive 11 - year averages as measures of outcome and, if it is not, how the relationship between projections and outcome should be monitored.

There are divergent views on whether the recent droughts affecting the tornado states were caused by climate change — although climate models do predict more droughts in central North America, which is often a vast playpen of deadly twisters.

The real test of a real climate model will be whether it can predict the weather next week.

The US CLIVAR Extremes Working Group was formed to evaluate whether current climate models produce extremes for the right reasons and whether they can be used for predicting and projecting short - term extremes in temperature and precipitation over North America.

The issue is whether models are capable of predicting what will happen in the future.

Once you accept the CAGW dogma that temperature change can be predicted by the change in a single predominant factor CO2 (actually the difference in the logarithms of CO2) then whether you use Hanson's model of Monckton's model, if you assume that CO2 is well - mixed (which we now know it isn't) then the change in temperature does not depend on where you measure it.

Moreover, models predict that amplified warming in the upper tropical troposphere would accompany long - term warming, no matter whether the forcing is anthropogenic (greenhouse gases) or natural (solar).

For example, theory and bottom up modelling suggest that some energy efficiency policies can deliver CO2 emission reductions at negative cost, but we need ex ‐ post policy evaluation to establish whether they really do and whether the measures are as effective as predicted by ex ‐ ante assessments.

The story discusses using models to develop «complex solutions to complex problems» and notes the utility of C - ROADS: «having the capacity to accurately predict the utility of proposed policy — whether it be domestic legislature -LSB-...]