Значения термина statistical learning на английском

In traditional statistical learning, every man is an island, entire of itself.

Both teams selected their players with the help of statistical learning.

This mutual interference suggests that statistical summary perception and statistical learning are fundamentally related.

More generally, Chomsky is critical of all statistical learning.

However, STM did not correlate with statistical learning.

In sum, calculating summary statistics impeded statistical learning, and extracting statistical regularities impeded statistical summary perception.

Further, we explored the relation between statistical learning and a measure of verbal short-term memory (STM).

Methods: A model-building study using supervised statistical learning methods was conducted utilising a retrospective cohort across two tertiary centres.

Forty-two participants were tested and retested after an interval of at least 3 days on our novel statistical learning task.

Third, our novel approach to measure online statistical learning would be reliable in showing individual differences in statistical learning ability.

Participants who performed a summary task showed no statistical learning of the regularities, whereas those who performed control tasks showed robust learning.

This suggests that functional connectivity between brain networks supporting attentional and working memory processes may play an important role in statistical learning.

In the case of gene expression microarray data, standard statistical learning methods have been used to identify classifiers that can accurately distinguish disease phenotypes.

Machine learning, a branch of artificial intelligence applications, provides statistical learning procedures that can be used to gain novel insights into disease surveillance systems.

We devised an online statistical learning task using real word auditory-picture sequences that vary in two dimensions: (i) predictability and (ii) adjacency of dependent elements.

The visual system is an efficient statistician, extracting statistical summaries over sets of objects ( statistical summary perception) and statistical regularities among individual objects ( statistical learning).