Sentence examples for mean cost function from inspiring English sources

Each GP is illustrated by a mean cost function bracketed by two curves indicating the function +/− one standard deviation from the mean.

The proposed family is based on minimizing the general least mean cost function via stochastic gradient optimization.

In the combination of higher α and lower β (which clearly means more stimulation overall), we see both a higher average cost function and stronger latency-cost function link.

which means the cost function in Eq. (7) is minimized by setting higher weight ω ′ i to lower sample cost (phantom {dot {i}!}L({{x}_{{delta }_{i}}})) using our LpcSVM algorithm.

The network training is based on the weighted mean square error cost function, allowing us to use the marginal probability of each pattern viewed by a given window.

Then, an estimation of the combination of rotation and translation is performed by using a mean squared error cost function.

A maximum likelihood algorithm with a mean square error cost function has a position error median of 6.66 m.

A maximum likelihood algorithm with a mean square error cost function has a higher position error median than our algorithm.

These points are compared resulting in the mean square error cost function (MMSE) (3) The most likely location is determined by minimizing this cost function [57, 58]: (3).

The authors of [13] proposed a matrix-based algorithm for channel estimation considering an optimisation problem based on the normalised least mean square (NLMS) cost function.

Finally, we propose a fast 2D localization algorithm based on the corrected distance circles and compare the results with the more conventional maximum likelihood on the position algorithm with a mean square error cost function.