Sentence examples for model the kernels from inspiring English sources
If the order of such a fitted minimal dynamical model is used to sort the annotated macrocategories of Fig. 2, we still recover both the same expected cascade of events and the same direct proportionality with HL, see Fig. 5, meaning that even in terms of the simplest possible dynamical model the kernels providing the best fitting become increasingly complex as we progress through the cycle.
For a successful SVM model, the kernel parameters for SVM and feature subset selection are the most important factors affecting prediction accuracy.
The statistical methods were reasonable, I would have liked to also see the possibility of metrics based on likelihood models, the kernel density estimation does go a bit in that direction.
The model (at the kernel bandwidth) that yielded the smallest mean PRESS residuals (which we referred to as the "best-fit model ") was identified as the best candidate for the neuron's spatial coding scheme.
Although marx can be used to include the effects of photon pileup for any arbitrary spatial and spectral source model, the fitting kernel may need to be adjusted for larger extraction regions.
Prior to the ARACNe analysis, simulations were performed to model the optimal kernel width that allowed a proper mutual information (MI) estimation in our dataset.
Current techniques on integrating multiple networks can be mainly divided into two categories: (i) several approaches model the composite kernel optimization and the final predictor training as separate problems.
Notice the difference for the invalid regions with our models and the Kernel Density Estimation model.
Contrast that to the UNIX design model, where the kernel is pretty small, and people really can know most of what goes on in the kernel.
We used the estimated propensity scores from the resulting model for the kernel and local linear matching estimators and for IPW.
Nevertheless, the first flaw of the bipartite model, like the kernel SVM method [ 6], is that the unknown interactions of the drugs and proteins in the training data are all assumed non-interaction and cannot be inferred.
