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Then, to estimate the explicit learning rate, one needs to estimate the regularization errors (see, e.g., [4, 7, 9, 14]).
However, too deep Poisson wavelets may cause a heavily ill-conditioned normal matrix, where strong regularization is need, and the associated regularization errors may corrupt the solution.
Moreover, the stress neighborhood manipulation on nonwords was so strong as to produce a large number, not only of "regularization" errors, but also of "irregularization" errors.
Priming non-dominant stress words with dominant stress nonwords resulted in a large proportion of regularization errors, relative to priming with non-dominant stress words.
The stress assignment of this neighborhood is thus inconsistent with that assigned to the target stimuli, leading to longer naming latencies and to regularization errors in unprimed naming.
Thus, for words with highly unusual spelling-to-sound correspondences, task parameters that bias performance toward direct mapping from spelling to sound can result in regularization errors [25]; see [28] for an alternative interpretation of this finding).
Similar(52)
As a final step, the leading term in the regularization error is eliminated in order to gain one more order of accuracy.
Balancing (BP) and hardened balancing principle (HBP): they use all the candidates to estimate the regularization error, which is compared then to the so called approximated propagated error bound.
Hence, it is almost certainly the sole or predominant mechanism by which children retreat from past-tense over-regularization errors (e.g., hit and sat pre-empt the common child forms *hitted and *sitted, respectively).
Nevertheless, we tried optimizing the L1-regularized error function E1 for regularization constant c ranging from 0 to 10 in increments of 0.1.
"Regularization" stress errors on word primes were 3%.
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