Sentence examples for model selection protocol from inspiring English sources

Ear rot data from the 2011/2012 topcross experiments were analyzed using the same model selection protocol as the inbred experiments.

For model selection, we used the protocol above, with a different set of parameters θ M for each model M, with each MCMC step proposing a random model from the Cao alone, Wai alone, and BDP set described in the text, as in the SMC ABC model selection protocol proposed in Toni et al. (2009).

ANN training and model selection followed the same protocol as above, except that only 150 pairs of test and training data were formed and, no additional validation data was available to prune networks that showed poor generalization.

Model selection was conducted according to the protocol outlined by Mandel et al. and implemented in FAST-Modelfree.

We performed our model selection process using several different alternative protocols, including comparing logarithms of V (h ) measurements (in contrast to the raw values) and varying A1 over orders of magnitude from 10 10 (corresponding to unbalanced weighting, favouring E (m ) and V (h ) data respectively).

To address the reviewer's concern, we performed our model selection procedure with a range of other protocols, including varying this weighting over several orders of magnitude, and using logarithms of variance measurements as well as copy number.

Multiple linear regression models were constructed separately for each pollutant following the ESCAPE supervised forward selection protocol (Beelen et al. 2013; Eeftens et al. 2012a) using annual average concentrations obtained from the sampling campaign as outcomes.

In particular, ProQM-resample uses the repack protocol to sample side-chain conformations followed by rescoring using ProQM to improve model selection.

The effects of DCE-MRI scan duration and protocol design (continuous vs integrated scanning) on the estimated pharmacokinetic (PK) parameters and on model selection, were studied using both simulated and patient data.

The protocol specifies two views of the dataset: view 1, aimed at algorithm development and model selection, and view 2, aimed at final performance reporting.

When scanning behavior was included in the model, the action-selection protocol was preceded by, and thus started with the decision of ego, whether to employ scanning behavior or not (see submodel Scanning below).