Feature selection (FS) is a critical step in hyperspectral image (HSI) classification, essential for reducing data dimensionality while preserving classification accuracy. However, FS for HSIs remains ...
A team of computer engineering researchers in Iran has unveiled a new machine learning framework that combines federated learning, bio-inspired optimization, and deep neural networks to pick out the ...
Machine Learning Meets Classical Statistics to Catch the Subtle Fingerprints of Polygenic Adaptation
One of the most stubborn problems in modern population genetics is not finding evidence of adaptation in the genome, but ...
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