Sentence examples for learning correlations from inspiring English sources

This may seem counter-intuitive but, when learning correlations or associations, learning what things " often go together" has many useful properties that can be attained without a supervisory signal to indicate what things " should go together" [ 56, 57], (Watson, R.A., Szathmáry, E.: "Learning in evolution", opinion article. Trends in Ecology & Evolution, forthcoming), [ 68].

For each functional connectivity that changed significantly after learning, correlation analyses were carried out to determine if there was a relationship between the change in behavioral performance (the threshold difference between post- and pretest) and the change in functional connectivity (the strength difference between post- and pretest).

Such models can learn correlations across the multiple outputs, which can then be exploited to share knowledge across the multiple outputs.

"Videos with audio tracks provide us with a natural way to learn correlations between sounds and images," said Jean-Charles Bazin, a research associate at Disney Research.

Classification techniques [22] such as Naive Bayes Classifiers and decision trees learn correlations between a response variable (called class label) and other variables based on empirical probability.

A trained linear classifier learned correlations across time, frequency and electrodes in an appropriate way to optimize the decoding performance.

iASeq uses a Bayesian hierarchical mixture model to learn correlation patterns of allele-specificity among multiple proteins.

Thus, whereas supervised correlation learning reinforces correlations that are good according to some external reward signal, unsupervised correlation learning changes connections simply to reinforce correlations that are frequent.

This not only builds a stronger learning correlation, but it improves anticipatory skills on reading the kinematic movements of others.

Of course, correlations between two variables need not indicate a causal relationship and the IIPMF-spatial learning correlation might be spurious.

Even though the idea of learning through correlations dates further back in the past (James 1890), correlation-based learning is now generally called Hebbian learning.