Multi-value Mestre-Nagao sums and learned weighted sums raise elliptic curve rank classification accuracy over a single-sum baseline, with best Matthews correlation coefficient 0.856 versus 0.712.
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Improving elliptic curve rank classification using multi-value and learned Mestre-Nagao sums
Multi-value Mestre-Nagao sums and learned weighted sums raise elliptic curve rank classification accuracy over a single-sum baseline, with best Matthews correlation coefficient 0.856 versus 0.712.