If we consider now the scenario from Figure 3, there is virtually no difference in the average sum rate between the two initialization methods.
For example, at 20 dB, the difference in the average sum rate between the round-robin initialization and the BD-optimal initialization is about 0.01 bit/s/Hz, which is negligible.
Furthermore, in order to have a fair comparison between the cases N=3 and N=7, the average sum rate performance is normalized by the dimension N, which means that the sum rate is divided by the number of symbols in one symbol vector as shown in (14).
These values between 0 and 1 were multiplied by the average sum of reads over all samples, approximating read number.
Generally, the HCP gives the average sum of marriage rates between different population categories (alpha_{1}, alpha_{2}, ldots, beta_{5}).
Like all classifiers, the weight W (L−1) can be decided by minimizing a cost function which minimizes the average sum-of-squares error between the results z and the corresponding labels y over all training samples.
In order to initialize W ll), we reconstruct r (l−1,m) using r (l,m) as in Eq. (2) and minimize the average sum-of-squares error between r (l−1,m) and its reconstruction z (l−1,m) function : mathrm{J}left(boldsymbol{W}^ { l }boldsymbol{b}^{(l)}right) = frac{1}{2M}sum_{m=1}^{M} left|boldsymbol{r}^{(l-1,boldsymbol{b}^ol{z}^{(l-1,m)}rightt|_{2}^{2}.
acis_streak_map also attempts to identify the highest intensity streaks by flagging summed values significantly larger than the average summed value.
Finally, the average sum rate is presented.
b The average sum-rate of LR users.
