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The WLSP-C ± model is optimized by fitting the weights ω R (r) and ω F (r,f), so that the retrieval accuracy according to the query image and the set of relevant images chosen by the user is maximized.
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Based on a correction of stress intensity factor ratio, highly accurate analytical equations of crack surface displacements under the two load conditions are developed by fitting the data obtained with the weight function method.
For IPW/CC, IPW/IPW, and IPW/MI, weights were estimated by fitting the (correctly specified) missingness model for stage 1: P(X3, X4, X4 and X5 observed) =δ0+δ1 X1.
The electrical and rheological percolation thresholds of low and high molecular weight PCs obtained by fitting the experimental data to classic percolation theory were significantly decreased after ultrasonic treatment.
This extra regression weight is computed by fitting the observed pretreatment growth in SDS with a non-linear 'disturbed growth SDS' function.
As formalized below, we estimate by fitting the analysis model only to individuals, using inverse-probability weights to account for the selection by.
The weights (w i ) for the 21 atom types derived by fitting the GB polar solvation free energies for the training set are listed in Table 1.
The kinetic parameters estimated by fitting the initiator conversion data and monomer conversion data were used for modeling the molecular weight profiles, which were in a fair agreement with the experimentally measured average molecular weights.
We alleviate dilemma of choosing weighting schemes such that do not bias the estimates [[ 11], p.123], by fitting the POR model to 2-by-2 tables.
After normalization, we filtered data first by removing probes that did not have high-quality data in at least 25% of arrays for a given study and second by fitting array weights using the ArrayWeights function in limma (Ritchie et al. 2006) to downweigh lower quality arrays.
We have shown that by fitting network weights that are simultaneously optimized on a group of functions from the same branch of GO, we greatly improve prediction performance.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com