algorithm selection
PulseAugur coverage of algorithm selection — every cluster mentioning algorithm selection across labs, papers, and developer communities, ranked by signal.
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New Weisfeiler-Leman Features Enhance Algorithm Selection in Constraint Programming
Researchers have developed a new method for algorithm selection in constraint programming by leveraging Weisfeiler-Leman (WL) features. This approach uses graph conversion and WL graph kernels to create robust structura…
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New framework enables instance-level foundation model selection for EEG data
Researchers have developed EEG-AS, a novel framework for selecting the most effective foundation model for electroencephalography (EEG) data on an instance-by-instance basis. This approach addresses the challenge that n…
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Algorithm selection models tested for real-world generalization
Researchers have evaluated the real-world generalizability of algorithm selection models, which aim to automatically pick the best optimization algorithm for a given problem. Their study used both synthetic benchmarks a…