Stability selection is a variable selection algorithm based on resampling a dataset. Based on stability selection, we propose weighted stability selection to select ...
High-dimensional statistical modelling addresses settings in which the number of candidate predictors far exceeds the number of observations. Such scenarios arise routinely in genomics, neuroimaging, ...
Electronic health record (EHR) systems have become widely adopted, prompting a growing interest in leveraging EHR data for ...
A new variable selection method for use in chemometrics applications has recently been proposed by a team of researchers from the Hefei Institutes of Physical Science of the Chinese Academy of ...
A new multi-granularity fuzzy rough feature selection method fuses algebraic and informational views, improving classification accuracy across 20 benchmark datasets.
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