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(A ) Forward generalization (B ) Backward generalization.
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The method developed above admits a straight forward generalization to higher order difference operators.
Forward generalization showed a larger CE in unseen trials compared to seen trials (mean = 382 ms vs 201 ms, p < 0.005), and the same pattern was apparent for backward generalization to a lesser extent (mean = 159 ms vs 78 ms, p < 0.05) (see Figure 5 figure supplement 2 for statistics).
The proof is a straight-forward generalization of ([13], Appendix I).
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Since we tested different models only in a single forward prediction, the generalization of our results is not straightforward.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

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