Sentence examples for network sensitivity from inspiring English sources

I agree with Eric Mink (Op-Ed, Aug. 30) about the need for TV network sensitivity regarding the video images of Sept. 11.

Efficiency was expressed as the squared ratio of human sensitivity (d′) to neural network sensitivity (d′).

This paper studies this less investigated issue of network sensitivity in the long run.

Increasing the frequency of Hello messages or decreasing the number of allowed Hello losses is a simple way to improve the network sensitivity to mobility [8].

After the algorithm structure has been statistically optimised, the network sensitivity to input variations has been evaluated on simulated signals through a technique inspired by information gap theory.

Distributed approaches have been presented in the literature and often utilize features of network structure to make approximations, for example through decomposition of the network sensitivity matrix in order to form independent regions [2].

The framework does not require strict assumptions about availability of information or timing of decisions, and it can be used to examine network sensitivities that knowledge-based methods cannot.

In particular, we focus on the relation of structural network sensitivities to the variance of gene expression data resulting from external perturbations and from the action of cellular control circuits.

Design interactions between multiple networks have largely been analyzed either as non-cooperative games with non-unique Nash equilibria, even if assumptions needed for such games are not satisfied, or using knowledge-based or agent-based methods that cannot explicitly quantify network sensitivities.

In all five cases the Regression Sum of Squares is below 10−4, and the average network sensitivities obtained in this way are: S = 1.028 for E. coli; S = 1.036 for S. cerevisiae; S = 0.826 for B. subtilis; S = 0.914 for D. melanogaster; and S = 1.127 for A. thaliana.

By applying neural networks sensitivity analysis we also recovered the subset of signaling proteins that best explain Isomap projection from the original into the low dimensional subspace.