Therefore, in the implementation of the weighting method, we excluded the p-values which have been already statistically significant.
The implementation multiplies the weight assigned by the workload by the base utility rate of the application to find the actual utility rate for each potential application configuration.
This is because in Inception-v3 the bottlenecks (see the Methods and Tools section for details) were cached, while in the other implementations all the weights up to the last layers had to be retrieved for each image every time it was reused during training.
To achieve a complementary effect on sensor fusion of RBPF based on GPS and LIDAR, probabilistic mathematics was used to combine GPS and LIDAR data in RBPFs importance weight (w_{t}^{(i }.) For implementation, the RBPFs importance weight was formulated using the log-likelihood.
Some derived class implementations make take second argument as the weight and ignore the remaining.
Nevertheless, in this implementation of Bis-Class the users can choose any arbitrary value of the weight factor.
To reduce artifacts due to the abrupt edges of such a filter, the copynumber implementation assigns half weight to the outer 1/3 of the observations on each side.
Findings from the Counterweight Programme [ 29] show, for example, that staff perceived that involvement and a sense of ownership, alongside a clear understanding of programme goals, are important factors in the effective implementation of weight management in primary health care.
These equations represent useful design tools when dealing with super-directive arrays since the relative errors occurring in the implementation of the beamformer weights usually map onto amplified relative errors on the array gains.
