That said, if a core aspect of DMN function is relaxing an attentional focus, sustained enhancement is plausible during a period of relatively unfocused cognitive activity.
Unknown time-delay functions are approximated by NNs, such that the requirement on the nonlinear time-delay functions is relaxed.
Nonetheless, the asymmetry in men's and women's utility functions is relaxed in Appendix B. Specifically, I assume in Appendix B that (all else equal) a man's and a woman's utility is a continuous function of time spent together with the mate (both of them value marital interaction) and a man divides his limited time equally among his wives.
Algebraic functions are relaxed using well-known convex underestimation techniques.
Under a weaken assumption that the powers of nonlinear functions are relaxed to an interval, the new control strategy implanting sign functions into homogeneous domination idea and observer construction allows time-varying delays to coexist in system state and control input.
Obviously, the requirements of smoothness, monotonicity, and boundedness on the activation functions are relaxed in our model.
Then the objective function of FME is relaxed to F = X T W + 1b T + F 0, where F 0 is the residual item between the predicted label matrix F and X T W + 1b T. The advantage of this kind of relaxation can make the processing of the sample data points on the nonlinear manifolds more flexible.
To obtain a global solution for the source location estimates, the cost function of RSS-based sensor localization is relaxed as convex optimization problem which can be solved by interior point method.
It has been shown analytically that for a one-dimensional system and the A + A reaction, when the point-molecule assumption is relaxed, the propensity function need only be adjusted by replacing the total volume of the system with the free volume of the system.
We first extract from the speech signal itself, the points having the potential of attaining largest norms of residuals (the glottal closure instants) and then we construct the weighting function such that the prediction error is relaxed on these points.
