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Performance-Agnostic Fusion of Probabilistic Classifier Outputs
The intuition behind this approach is that classifiers trained for the same task should typically exhibit regularities in their outputs on a new task; the predictions of classifiers which differ significantly from those of others are thus given less credence using our approach.
Machine Learning Methods for Shark Detection
This essay reviews human observer-based methods employed in shark spotting in Muizenberg Beach.
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