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Furthermore, we observed a similar facilitation pattern for learning mirrored mappings, as the ratio between the second and the first occurrence of the mirror mapping was also significantly below unity (p<0.02, Wilcoxon signed rank test).
Analyses of discriminability across early blocks revealed that there were no discernable differences in the patterns of learning for each task, as the interaction between task and block was not significant, F(12, 216) = 1.54, p > 0.01.
To visualise the different patterns of learning across trials for each task and stimulus pair type, "five-point moving average" analyses were employed to construct learning curves consisting of 116 overlapping windows moving in one trial steps, which were averaged across participants.
To see if this pattern of learning held for each training condition, we calculated group averaged positional thresholds (±SEM) in the first and last session for each task-configuration combination.
Repetition of interacting patterns is crucial for learning languages, mathematics, science, music and the performing arts.
Finally, we show how the algorithm for descriptive one-variable patterns can be used for learning one-variable patterns with a polynomial number of superset queries with respect to the one-variable patterns as query language.
The comparisons to the control conditions, however, show that the pattern of learning effects is similar for both material sets, if somewhat more pronounced for the Australian materials.
Also, Kozareva et al. (2008) built a pattern-based system for learning specific semantic classes (e.g. countries or singers).
However, in our hybrid approach PROSITE and SVM have been used simultaneously in generating the input patterns for machine learning.
The proposed strategy is inserted inside the core a hybrid metaheuristic model, applied for learning patterns from an important mini/microgrid forecasting problem, the household electricity demand forecasting.
However, the findings support prior animal work implicating central proprioceptive capability as important for learning patterns of movement.
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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.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com