Sentence examples for derived a weight from inspiring English sources

Mitsunaga and Nayar [22] derived a weight function that maximizes SNR assuming signal-independent additive noise, and Kirk and Andersen [13] derived a weight function inversely proportional to the temporal variance of the digital LDR values.

Instead, SVM-embedded feature selection uses a linear SVM classifier to derive a weight for each feature.

In order to derive a weight for each suitability criterion that would correspond to its relative importance in relation to each objective, a comparison matrix was built using single values drawn from the distributions of pairwise comparisons.

Were the above types of studies the only data available (despite their obvious limitations) for deriving a weight of evidence-based concentration that would be protective for even the most sensitive individuals, such data would necessarily have to be relied upon.

We characterize the bias introduced by the combination of search with sampling, and derive a weighting scheme which yields an unbiased estimate of the desired statistics (e.g., probability of evidence).

The probabilistic reasoning was then extended to derive a weighting function for the case in which (some of) the noise model parameters are unknown.

Beyond this obvious use, this index can also be used to derive a weighting scheme that introduces the idea of non-discrete functional modules within the context of functional profiling methodologies in a straightforward manner.

For each year, we determined the combined human population of the responding countries using WHO health statistics (WHO 2010b) and divided the resulting value by the total population of all 143 targeted countries to derive a weighting factor based on the proportion of the targeted population with available data.

In order to derive a weighting scheme that takes account of equity concerns in the best possible way (i.e. maximizes social welfare) one needs to assume specific functional forms for individuals' utility functions and the social welfare function to be used to aggregate individual utilities.

We then derived a propensity score weight: each patient was weighted with the inverse of the propensity score in the intervention group and with the inverse of one minus the propensity score in the control group.

For each genome, we derived a position-specific weight matrix for both donor and acceptor splice sites.