Sentence examples for models to weight from inspiring English sources

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The bigger problem appears to have been that pollsters relied on flawed turnout models to weight their raw numbers.

The described methodology is based on linear additive models to weight and aggregate selected indicators to a set of land use functions identified to describe the goods and services provided by the different land uses that summarise the most relevant economic, environmental and social issues of a region.

Furthermore, we did not exclude articles on the basis of sample size, but instead, we employed statistical models to weight studies on the basis of the number of OPSCC specimens analyzed.

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Ultimately, every pollster is entitled to tackle these difficult challenges -- from cells vs. landlines to likely voter models to weighting techniques -- in their own way.

They proposed a model to weight subjective versus objective measures.

Open image in new window Fig. 3 The analytic network process model to weight the six strategies   2.

SSS uses a supervised maximum-likelihood naive-Bayes model to weight each edge with two separate probabilities: that of belonging to a small complex, and of belonging to a large complex.

Improvements were observed by linearly combining location with additional features in the cost function, but further improvements in accuracy can be achieved by training the cost model to weight the features differently.

First, SWC [ 9] integrates its four input data (see Table 1), using supervised learning with a maximum-likelihood naive-Bayes model to weight each edge with its posterior probability of being a co-complex edge.

For the MEG data, the ability of the more complex model to weight each fMRI prior separately again resulted in a shift of activity deeper into fusiform cortex, particularly on the right (cf. second and third columns in Fig. 6).

SSS uses a naive-Bayes maximum-likelihood model to weight the edges with two posterior probabilities: that of being in a small complex, and of being in a large complex.

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