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Group mean transition error rates, sorted in order of increasing value, are displayed in Fig. 2B.
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If the measurement and state transition errors are independent, white, and Gaussian processes, the KF computes the posterior mean that is the optimal estimator in minimum mean square error sense (i.e., the KF is the exact Bayesian filter) [12].
Specifically, we sorted the transitions by increasing mean error rate on the final three pre-sleep training trials, similar to the methodology in [12].
To work out the maximum embedding rate under various embedding intensities, the mean square error is still used as the transition.
Error bars are mean ± standard error.
What was the root mean squared error?
Mean of mean residual error.
Mean percent error.
Mean absolute error (GB).
mean square error regression.
Normalized mean squared error.
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