An entropy-minimizing classifier learns a separating hyperplane (or polynomial surface) together with per-point positive distances, and is tested against standard baselines.
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Classification by Separating Hypersurfaces: An Entropic Approach
An entropy-minimizing classifier learns a separating hyperplane (or polynomial surface) together with per-point positive distances, and is tested against standard baselines.