Biobjective gradient descent for feature selection on high dimension, low sample size data
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DOI: 10.1371/journal.pone.0305654
Abstract: Even though deep learning shows impressive results in several applications, its use on problems with High Dimensions and Low Sample Size, such as diagnosing rare diseases, leads to overfitting. One solution often proposed is feature… read more here.
Keywords: sample size; low sample; biobjective gradient; feature ... See more keywords