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Compared to non-human sounds, the auditory information related to human actions contains many correlated features, some of which are highly salient to the infant (e.g., features related to animacy, meaningful action events, associated visual information, etc).
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However, many highly correlated features have very similar physicochemical meanings.
One of the consequences of the filtering methods is that we may end up with many highly correlated features; yet, any highly redundant information will worsen the classification and prediction performance.
Nevertheless, many strongly-correlated features, e.g., the Mott transition, are still be captured correctly [19].
CNFpred takes advantage of as many correlated sequence and structure features as possible to improve alignment accuracy.
When classifying all subjects, the best results for GO were achieved by MDA, either by taking the top 20 features using MDA with decorrelation or by taking the top 15% using MDA without decorrelation; after decorrelation, the top 15% features had a lower performance, suggesting that many relevant yet highly correlated features are removed by decorrelation (see Additional file 1).
This is within expectation, as a small or large threshold would either result in too many unrelated features or too less correlated features which all lead to a worse learning result.
It is expected that strongly correlated (or inversely correlated) features should show a high correlation coefficient (approximately 1 or −1).
and mutual information do not distinguish between positively and negatively correlated features.
In addition, it performs especially well on datasets with correlated features such as UEF spectral datasets.
"The Reflexion Edge simultaneously tests many correlated functions to concussion at once.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com