Noise has a larger effect on the performance of features than gear mesh damping.
Its performance depends on features variances which can be very different for different pre-processing methods applied to data [ 42], see for example Figure 1 for comparison of MAS5 and RMA pre-processed data.
For optimal performance on MFCC features, they were set to and, which will be refered to as Phase1 in the results.
We also found no differences between first session unique and shared performance within each of the two groups (ps > 0.164; Supplementary Fig. S1), demonstrating a successful matching of performance on these feature types.
The a posteriori-driven mesh refinement is shown to significantly enhance the performance on problems featuring singular solutions, allowing to fully exploit the high-order of approximation.
Her recent performance on Jimmy Fallon featured not just a trippy rainbow guitar but also some Adidas tracksuit-clad female dancers, replicating the eye-catching video for her recent single Just One of the Guys.
Figure 4 Performance on different feature sets (soft case).
We therefore measured performance on (1) feature-difference and (2) signal-in-noise tasks while participants received rTMS over PPC (dorsal) or lateral occipital (LO) (ventral) areas.
The effect in ventral cortex for the signal-in-noise task after training was stronger in the right hemisphere (t11 = 2.23, p = 0.048), echoing the pretraining results for performance on the feature-difference task.
We demonstrate the strong dependence of our models' performances on important features.
