Extended Data Fig. 10 | Enhancing robustness of the linear classif ier against
noise. Besides optimizing the SNR, the linear classifier’s tolerance to noise can
also be increased by taking noise into account during the training phase. The
accuracy remains over 92% at 0.05 nA noise amplitude (see Supplementary
Note 8 for a detailed discussion).
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