A HUBO model with three-body mutual-information terms is optimized on IonQ trapped-ion hardware and produces compact feature subsets with classification performance competitive to classical baselines on two benchmark datasets.
An introduction to variable and feature selection
2 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 2representative citing papers
SFFS yields an 8-channel subset matching or exceeding up to 30-channel landslide segmentation F1 on Landslide4Sense via iterative build-and-prune with U-Net++ proxy.
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Quantum Feature Selection with Higher-Order Binary Optimization on Trapped-Ion Hardware
A HUBO model with three-body mutual-information terms is optimized on IonQ trapped-ion hardware and produces compact feature subsets with classification performance competitive to classical baselines on two benchmark datasets.
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Sequential Feature Selection for Efficient Landslide Segmentation from Multi-Spectral Data
SFFS yields an 8-channel subset matching or exceeding up to 30-channel landslide segmentation F1 on Landslide4Sense via iterative build-and-prune with U-Net++ proxy.