Sentences with phrase «data bases of model»

Not exact matches

In essence, rule - based online trading platforms provide tools and tutorials for people to write algorithms on Web browsers and test their models with years of historic data.

QNX, which made more than 60 % of the core software inside the world's car infotainment systems in 2011, has partnered with The Weather Network to send location - based weather data to drivers, and the intelligent dashboard system in many of Nissan's 2013 models, for instance, will feed drivers real - time local fuel prices, flight - status information, and points of interest supplied by Google.

The pricing on these is vastly different to Dropbox and Box too; instead of subscription models, cloud service providers charge based on the amount of data you store, the amount of data you distribute (bandwidth) and even how often you want to access it.

Lightspeed grew its customer base by staying on top of retail trends, constantly adding new features like mobile checkout functionality, and adapting its business model to the cloud, giving clients access to data and analytics while keeping overhead low.

And he's «convinced» that this model, cloud computing / crowdsourced data / machine learning, «will be the basis and fundamentals of every successful huge IPO win in 5 years.

The machine - learning - based model by Medial EarlySign used data found in EHRs, such as laboratory tests results, demographics, medication, and diagnostic codes, to predict a patient's risk of experiencing renal dysfunction.

Based on user reported registration data online, Osborne says he expects Tesla to announce Model 3 deliveries of about 7,500 for the first quarter, below the 11,000 consensus.

These more structured data resources then provide the means for yet another application of AI - based algorithms, where the focus is on identifying patterns in data that ultimately provide the basis for predictive sales and marketing models.

The project is detailed in the contract as a seven step process — with Kogan's company, GSR, generating an initial seed sample (though it does not specify how large this is here) using «online panels»; analyzing this seed training data using its own «psychometric inventories» to try to determine personality categories; the next step is Kogan's personality quiz app being deployed on Facebook to gather the full dataset from respondents and also to scrape a subset of data from their Facebook friends (here it notes: «upon consent of the respondent, the GS Technology scrapes and retains the respondent's Facebook profile and a quantity of data on that respondent's Facebook friends»); step 4 involves the psychometric data from the seed sample, plus the Facebook profile data and friend data all being run through proprietary modeling algorithms — which the contract specifies are based on using Facebook likes to predict personality scores, with the stated aim of predicting the «psychological, dispositional and / or attitudinal facets of each Facebook record»; this then generates a series of scores per Facebook profile; step 6 is to match these psychometrically scored profiles with voter record data held by SCL — with the goal of matching (and thus scoring) at least 2M voter records for targeting voters across the 11 states; the final step is for matched records to be returned to SCL, which would then be in a position to craft messages to voters based on their modeled psychometric scores.

Models are estimated or parameterized on the basis of historical data.

According to Nix, the success of Cambridge Analytica's marketing is based on a combination of three elements: behavioral science using the OCEAN Model, Big Data analysis, and ad targeting.

The scenario model is pre-populated with data based on a large sample of U.S. public companies (more than 2,500 companies) over a seven - year period (2004 - 2011), as compiled by BoardEx.1 To access the pre-populated model calculations, click the Calculations / Historical data and Attrition data tabs in the Excel spreadsheet that you can download from this page.

The company was just named one of only four 2016 SIIA Model of Excellence Winners based on exceptional standards for data excellence.

In addition to the TAO Growth Company of the Year award, DiscoverOrg has received numerous other accolades over the past year, including being named an Inc. 5000 company for the 6th straight year; being added to the Deloitte Technology Fast 500 list; being recognized as Category Leader for Sales Intelligence and Account - Based Marketing by G2 Crowd and as a 2017 Top Rated Sales Intelligence Platform by TrustRadius; and being awarded the SIIA Model of Excellence Award for Data Quality.

By: Kimberley Smuts 6th May 2016 The use of multiparametric block models, which contain more than just geological data, to analyse the risks associated with the mining process, allow more informed business decisions to be made on the basis of risk and exposure to that risk.

Facebook's data collection practices, the core of its ad - based business model, have come under broad scrutiny in recent weeks as the company has been forced to raise its estimates of how much user information was leaked and to admit that «most» of its more than two billion users may have had their public profile data scraped by outside harvesters.

End User acknowledges that the Consumer AVM reports provide estimates of the value of real property and other information related to value based upon the application of valuation models to available data and do not constitute appraisals or broker price opinions of subject properties and may not be relied upon as such.

By removing hunches from the selection process, the models are able to identify stable businesses with strong fundamentals based on data, the types of companies that will withstand the ups and downs of the market over the long - term.

Facebook won't axe its ad - based business model, despite the risks of harvesting user data.

The goal of science is to present the best model of reality based on current data.

Within the field of modern science, Thomas also distinguishes between the sciences based on mathematical models which are constructed from empirical data, e.g. mathematical physics, and the «empirio - schematic» sciences which are not highly mathematical, e.g. anatomy.

History based on the social - scientific interpretation of data is based on historical information along with comparative sociology and social psychology, cultural anthropology and any other cross-cultural methods that produce models based on inductive studies.

Individual growth curve models were developed for multilevel analysis and specifically designed for exploring longitudinal data on individual changes over time.23 Using this approach, we applied the MIXED procedure in SAS (SAS Institute) to account for the random effects of repeated measurements.24 To specify the correct model for our individual growth curves, we compared a series of MIXED models by evaluating the difference in deviance between nested models.23 Both fixed quadratic and cubic MIXED models fit our data well, but we selected the fixed quadratic MIXED model because the addition of a cubic time term was not statistically significant based on a log - likelihood ratio test.

What they gave the USDA was a modeled prediction based on all sorts of data the firm collected from 2,314 students at 398 schools that year, including the types of food served, the amount of time kids were given to eat, prices charged, and interviews with children and their parents revealing what the kids typically ate in the course of a day and family income.

We assumed that breastfeeding rates were correlated between pregnancies based on several sources of observational data18, 19 and used data from the Infant Feeding Practices Study II to model breastfeeding duration in a subsequent pregnancy contingent on duration of breastfeeding for the prior birth.19

Although not directly comparable, our findings are in broad agreement with those from routine data in Scotland that have indicated a positive association between Baby Friendly accreditation, but not certification, and breastfeeding at 1 week of age.17 Our findings reinforce those of Coutinho and colleagues who reported that high exclusive breastfeeding rates achieved in Brazilian hospitals implementing staff training with the course content of the Baby Friendly Hospital Initiative were short - lived and not sustained at home unless implemented in combination with post-natal home visits.35 Similarly in Italy, training of staff with an adapted version of the Baby Friendly course content resulted in high breastfeeding rates at discharge, with a rapid decrease in the days after leaving hospital.36 In contrast, a cluster randomized trial in Belarus (PROBIT) found an association between an intervention modelled on the Baby Friendly Initiative with an increased duration of breastfeeding37 an association also reported from an observational study in Germany.38 Mothers in Belarus stay in hospital post-partum for 6 — 7 days, and in Germany for 5 days, with post-natal support likely to be particularly important in countries where mothers stay in the hospital for a shorter time, with early discharge likely to limit the influence of a hospital - based intervention.

And of course, as any model based in historical data, its effectivity relies in that the situation in the current electoral cycle is not very different from the situation in the previous electorals cycles.

Vendors have been pitching it for years, usually basing their models on the same kinds of data that corporate brands both create and consume in bulk.

The models specified are inappropriate for properly addressing this question, both in their use of road expenditure data (based on a misunderstanding of how this may relate to traffic growth) and specification of a model that does not account for other variables that generally have a large effect on traffic growth (notably population and income growth).

We differentiated between computational approaches (either based on volume data, such as the number of mentions related to a party or candidate or the occurrence of particular hashtags; or endorsement data, such as the number of Twitter followers, Facebook friends or the number of «likes» received on Facebook walls), sentiment analysis approaches, that pay attention to the language and try to attach a qualitative meaning to the comments (posts, tweets) published by social media users employing automated tools for sentiment analysis (i.e., via natural language processing models or the employment of pre-defined ontological dictionaries), and finally what we call supervised and aggregated sentiment analysis (SASA), that is, techniques that exploit the human codification in their process and focus on the estimation of the aggregated distribution of the opinions, rather than on individual classification of each single text (Ceron et al. 2016).

Commercial marketers usually have a wealth of data to work with, from demographics to credit history to homeownership, but when he started working in politics, Ghani was struck by the fact that political campaigns are trying to build voter models based on a handful of data points.

The former built a seat and vote share prediction model based on huge quantities of fieldwork (7000 interviews per week) plus the now - famous Multilevel Regression and Post-stratification (or MRP) that converted that data into seat - by - seat estimates.

Processing the biological data at the deepest level, such as DNA base pairs, therefore only makes sense if this analysis can used to build models of biological processes and if the resulting predictions can be tested.

«This discrepancy between 1D - and 3D - based calculations of the 1989 storm demonstrates the importance of realistic data, rather than relying on previous 1D models, to determine the impact that a geomagnetic storm has on power grids,» Lucas said.

Data from land - based GPS receivers and tsunami gauge measurements have been used to model the motion and extent of the earthquake.

BOX 23, A-15-4; 30219212 / 734979 SAPA Requests for Translations of SAPA materials, 1966 - 1968 Prerequisites for SAPA The Psychological Basis of SAPA, 1965 Requests for SAPA to be Used in Canada, 1966 - 1968 Requests for Assistance with Inservice programs, 1967 - 1968 Schools Using SAPA, 1966 - 1968 Speakers on SAPA for NSTA and Other Meetings, 1968 Suggestions for Revisions of Part 4, 1967 - 1968 Suggestions for Revisions of the Commentary, 1967 - 1968 Summer Institutes for SAPA, Locations, 1968 Summer Institutes for SAPA, Announcement Forms, 1968 Inservice Programs, 1968 - 1969 Consultant Recommendations, 1967 - 1968 Inquiries About Films, 1968 Inquiries About Kits, 1967 - 1968 Inquiries About Evaluations, 1968 Tryout Teacher List, 1967 - 1968 Tryout Centers, 1967 - 1968 Tryout Feedback Forms, 1967 - 1968 Tryout Center Coordinators, 1967 - 1968 Cancelled Tryout Centers, 1967 - 1968 Volunteer Teachers for Parts F & G, 1967 - 1968 List of Teachers for Tryout Centers, 1963 - 1966 Tucson, AZ, Dr. Ed McCullough, 1964 - 1968 Tallahassee, FL, Mr. VanPierce, 1964 - 1968 Chicago, IL, University of Chicago, Miss Illa Podendorf, 1965 - 1969 Monmouth, IL, Professor David Allison, 1964 - 1968 Overland Park, KS, Mr. R. Scott Irwin and Mrs. John Muller, 1964 - 1968 Baltimore, MD, Mr. Daniel Rochowiak, 1964 - 1968 Kern County, CA, Mr. Dale Easter and Mr. Edward Price, 1964 - 1967 Philadelphia, PA, Mrs. Margaret Efraemson, 1968 Austin, TX, Dr. David Butts, 1968 Seattle, WA, Mrs. Louisa Crook, 1968 Oshkosh, WI, Dr. Robert White, 1968 John R. Mayer, personal correspondence, 1966 - 1969 Teacher Response Sheets, 1966 - 1967 Overland, KS Oshkosh, WI Monmouth, IL Baltimore, MD Teacher Response Checklist SAPA Feedback, 1965 - 1966 Using Time Space Relations Communicating Observing Formulating Models Defining Operationally Interpreting Data Classifying (2 Folders) Measuring Inferring Predicting Formulating Hypothesis Controlling Variables Experimenting Using Numbers SAPA Response Sheets for Competency Measures, 1966

This is because the models are based on equations representing the best understanding of the physical processes that govern climate, and in 2001 they were not fine - tuned to reproduce the most recent data.

They used this data compilation to evaluate the quality of their regional atmospheric climate model, based on global climate projections that included several scenarios of anticipated climate change.

«Not only is our physics - based simulation and animation system as good as other data - based modeling systems, it led to the new scientific insight that the limited motion of the dynein hinge focuses the energy released by ATP hydrolysis, which causes dynein's shape change and drives microtubule sliding and axoneme motion,» says Ingber.

The model calculations, which are based on data from the CLOUD experiment, reveal that the cooling effects of clouds are 27 percent less than in climate simulations without this effect as a result of additional particles caused by human activity: Instead of a radiative effect of -0.82 W / m2 the outcome is only -0.60 W / m2.

To see whether this increase in crops has influenced the region's unusual weather, researchers at the Massachusetts Institute of Technology in Cambridge used computers to model five different 30 - year climate simulations, based on data from 1982 to 2011.

To investigate the impacts, Yale's Jodi Sherman, M.D. and first author Matthew Eckelman of Northeastern University first used an economic model based on federal data to calculate total emissions of different pollutants produced by the healthcare sector over a 10 - year period, drawing on national health expenditure data.

The team's findings, which are based on real, observed data, mirror the predictions of the climate models.

They used data from New Horizons and ground - based telescopes to create models of how Sputnik Planitia's formation could influence Pluto's interior and orbital evolution.

I extracted data from the medical literature, conducted interviews with experts, and learned to program models to assess the costs and benefits of science - based public health interventions.

Oceanographers, geologists, and climatologists are scrambling to update their models of the planet based on the flood of GRACE data.

With hundreds of years of anthropological data from sites around the world yet to be digitized, scientists are just beginning to tap the potential of archaeology - based modeling.

They used a model based on 15 years of local water data to map soil moisture in the meadows, and overlaid that with a map of vegetation.

Using statistical modelling analysis, he concludes that — based on the available data — an estimate for domain name demand not met by available word combinations is as much as 25 % of all currently registered Internet domains.

Biomolecular model based on the gene expression data analyses support the reduction of glucose molecules (blue gradient) and acid buildup (gold gradient) proposed to occur in the boundary layer around the cell.