Poster
in
Workshop: Machine Learning and the Physical Sciences
A New Task: Deriving Semantic Class Targets for the Physical Sciences
Micah Bowles
Abstract:
We define deriving semantic class targets as a novel multi-modal task. By doing so, we aim to improve classification schemes in the physical sciences which can be severely abstracted and obfuscating. We address this task for upcoming radio astronomy surveys and present the derived semantic radio galaxy morphology class targets.
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