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Next, SSS [ 12] integrates its thirteen input data (see Table 1), using supervised learning with a maximum-likelihood naive-Bayes model to weight each edge in a size-specific manner: each edge is weighted with its small-co-complex, large-co-complex, and non-complex posterior probabilities.
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.
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.
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).
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.
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The bigger problem appears to have been that pollsters relied on flawed turnout models to weight their raw numbers.
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.
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.
Once we have height values, we use these values and the self-reported weight to obtain a fitting model to predict weight values for the ESCA data.
To determine the prevalence of overweight/obese status in children with autism spectrum disorders (ASD), identify associated characteristics, and develop a model to predict weight status.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com