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Open access Jun 2026

Feature interaction graphs for exact interpretable learning solver selection: an empirical diagnostic study.

These results validate FIG as a principled, interpretable diagnostic tool for algorithm selection in exact learning; its diagnostic relevance becomes apparent on harder instances where solver runtime separation is substantial.

Zhigao Huang, Miao Pan, Yuzhuo Pan et al. · 0 citations