Sentence examples for model selection on from inspiring English sources
In a previous work [22] we proposed to adapt the weighted-kernel SVM using a GA instead of the gradient descent algorithm to improve model selection on weighted radial basis kernels rather than to select variables.
We apply the proposed criterion, MW method, AIC and BIC for model selection on arboreal marsupials data.
To attribute the effect of input parameter and the model selection on the results, both sensitivity and robustness analyses are listed as criteria in the ESS transparency checklist.
Furthermore, cross-validation model selection on the number of phases K in the Coxian indicates that only a small K is required to achieve the optimal performance.
Third, we introduce the sequential forward floating search (SFFS) algorithm to perform model selection on multiple-permutation models, gaining further performance improvement.
The Bayesian Ying Yang (BYY) harmony learning theory has brought about a new mechanism that model selection on Gaussian mixture can be made automatically during parameter learning via maximization of a harmony function on finite mixture defined through a specific bidirectional architecture (BI-architecture) of the BYY learning system.
In this paper, both the evaporator and the condenser are divided into three different zones, and the impact of heat transfer correlations and void fraction models selection on the working fluid mass calculation results have been discussed.
For modeling selection on codon choice, an additional 1,000 bits were included, each associated with a particular "nonsynonymous" bit.
This model was compared to the null model, FMutSel0, which only models mutational biases, and does not include the additional codon fitness parameter in FmutSel which models selection on silent sites.
These two models were used to investigate sensitivity of contaminant tailing on model selection and on geometric and material properties.
Modelling was done using a strategy of selecting variables based on epidemiological knowledge and no actual model selection based on significance was done.
