SourceSplice selects data sources by repeatedly swapping poorly performing sources with better candidates, finding near-optimal training sets with fewer model evaluations than existing greedy or metaheuristic approaches.
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SourceSplice: Source Selection for Machine Learning Tasks
SourceSplice selects data sources by repeatedly swapping poorly performing sources with better candidates, finding near-optimal training sets with fewer model evaluations than existing greedy or metaheuristic approaches.