Using full-recording acoustic features and wrapper selection, the Extreme Minimal Learning Machine provides competitive dementia classification accuracy at lower computational cost on ADReSS and Pitt datasets.
Ruppert, The elements of statistical learning: data mining, inference, and prediction (2004)
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Dementia classification from spontaneous speech using wrapper-based feature selection
Using full-recording acoustic features and wrapper selection, the Extreme Minimal Learning Machine provides competitive dementia classification accuracy at lower computational cost on ADReSS and Pitt datasets.