Sentence examples for optimizing selection from inspiring English sources

Fig. 7 Fitting fig. of optimization result of parameters of RBF kernel function Through optimizing selection, optimal parameters of RBF radial basis kernel function result in c = 512 and gamma = 0.0078125 after filtering, with these as the basic parameters to construct the SVM classification model.  .

Through optimizing selection, optimal parameters of RBF radial basis kernel function result in c = 512 and gamma = 0.0078125 after filtering, with these as the basic parameters to construct the SVM classification model.

In the future, in order to further improve the treatment of these patients and to reduce toxicities, we need to improve our understanding of HER2-dependent pathways and their function, and to develop further treatment combinations while optimizing selection of patients by identifying new biomarkers.

While genetic tree improvement studies have focused on optimizing selection of growth traits such as maximizing tree height (Joyce et al. 2002; Lu et al. 2003b), few studies have examined the effect of climatic sensitivity on these growth traits (Lu et al. 2003a; Chhin 2008; Joyce and Rehfeldt 2013; Chhin 2015).

In essence, the solution to optimizing selection over appropriate densities is merely to avoid growth at densities that are too high or too low.

Additional biomarkers in severe sepsis are needed to tackle the challenges of determining prognosis and optimizing selection of high-risk patients for application of therapy.

A good process plan of a part is built up based on two elements: (1) optimized sequence of the operations of the part; and (2) optimized selection of the machine, cutting tool and tool access direction (TAD) for each operation.

This can even be extended to more informal roles like "change agents," allowing organizations to optimize selection based on what they know about successful personalities for these roles.

In addition, we illustrate how voters may face a trade-off between the legal standard that induces optimal behavior of the current leader (i.e., that most effectively addresses the moral hazard problem) and the legal standard that optimizes selection of future leaders (i.e., that most effectively addresses the adverse selection problem).

OBJECTIVE: The purpose of this study was to optimize selection criteria of biologic versus mechanical valve prostheses for aortic valve replacement.

The simple form of sigmoidal function and its derivative allows fast and accurate calculation of the gradients needed to optimize selection of the weights and biases and carry out second-order error analysis.