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We found that in a very large fraction of error trials (Subject 1, 77.15±0.03%; Subject 2, 91.77±0.04%) participants responded a letter which was present in the array (chance level is at 44%).
††Fraction of error variance due to random effects component.
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Correcting 100% fraction of errors contradict the information theory and the basic truth.
But when the fraction of errors is high, the information rate is low.
Theoretically, [30] cannot correct accurate (not near) 100% fraction of errors.
Generally, when m = 800 and the fraction of errors is 0.6, the fraction of successful correction approaches 1.
We present the average error (top row), the standard deviation of the error distribution (middle row) and the fraction of errors which are positive (bottom row).
Though near 100% errors can be corrected, in experiments, [30] can correct successfully varying the fraction of errors from 0 to 0.95.
In this fashion one tests all examples of the training data and measures the fraction of errors over the total number of training examples.
Although the information rate is low when the fraction of errors is near 100%, the information rate is acceptable if there is a small penalty in the fraction of successful decoding.
However, it should increase the fraction of errors coming from regions of single read coverage at large λ, making them more like those for small λ.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com