Examples of using Predictive models in English and their translations into Russian
{-}
-
Official
-
Colloquial
Building predictive models under conditions of high-noise data;
Developing and testing distributed architectures for predictive models construction;
LEO N91/10(predictive models of postoperative morbidity and length of hospital stay).
Confusing your metabolism,never eat in predictive models makes it burn faster.
For example, exposure to climate change may be assessed from climate records and predictive models.
Blakely designed math-based predictive models for us, models to help create geopolitical change.
To account for the non-linearity andcomplexities of the atmospheric system, it is necessary to simulate control strategies using predictive models.
Building crisis prognosis predictive models of insolvency organization using Harrington// Modern scientific research.
The research focused on the potentialities of the package Matlab Neural Networks to build predictive models of economic and social processes.
In business, predictive models exploit patterns found in historical and transactional data to identify risks and opportunities.
The impossibility of determining the level of risk without predictive models in the monitoring of land and the natural environment is shown.
Eventually, as Internet connectivity improves,these data will be made available in near real time in a form that can be incorporated into predictive models.
The features in your data are important to the predictive models you use and will influence the results you are going to achieve.
The report also provided an extensive list of candidate environmental variables that will be used in developing predictive models of habitat use for each species.
Based on those relationships, predictive models can be developed to aid public health efforts to control specific diseases.
Psychographic profiles offer the possibility to create sets of homogenous segments that can be used to build strong predictive models in order to enhance marketing strategies' efficiency.
The purpose of this paper is to develop two predictive models of productivity on the example of commercial enterprises and organizations Ukoopspilka system.
The lead country will also present the 1997 annual status report on the achievements of the programme andwill report on progress in developing predictive models for the effects of ozone using artificial neural networks.
This will allow to create predictive models of the possible risk zones in the education trajectories of the children and to provide teachers with recommendations in real-time.
What efforts need to be undertaken to develop an integrated system of observational data sources and predictive models that address the questions above and provide the best attributes of all components?
The issues of forming the predictive models for the observed processes on the base of combining the parabolic regression, autocorrelation function and harmonical weight are considered.
This species, which is a vector of human diseases,can survive periods of coldness, and predictive models indicate that its range can expand northwards, especially in view of climate change 14-17.
In the context of biological hazards, the combined use of archived and up-to-date imagery to track historical occurrences of malaria ordengue episodes was suggested as a way to develop predictive models of the diffusion of such occurrences.
They assist in reducing design time by providing predictive models that can be deployed early in the design process.
Canada has research on the nitrogen cycle at integrated monitoring sites to determine the factors controlling the magnitude of key nitrogen pools, processes and fluxes that influence water acidification, and develop,test and implement predictive models.
They depend on scientific independence to develop predictive models to explore policy options, and on technological achievement to provide solutions to global problems.
Coordinating data products to allow predictive relationships to be developed to allow predictive relationships that enable the forecasting of space weather to be established that can easily beassimilated into real-time or near real-time predictive models.
The effective use of artificial neural networks(ANN)for developing predictive models from available data should be explained clearly, with examples, to other scientists;
While predictive models and tools can provide indications, what is most important is a shared understanding of the risk landscape, a method to track the evolution of risks and a means to ensure that elevated levels of risk lead to action, i.e., produce appropriate, timely warnings that trigger the mobilization of resources, both human and financial.
Scientists use the data to create a 3-D reconstruction of each plant,develop predictive models for the plant's growth and development, and estimate the biomass yield for each plant and the entire plot.