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Getting the most out of ensemble selection

1 Pith paper cite this work. Polarity classification is still indexing.

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cs.LG 1

years

2026 1

verdicts

UNVERDICTED 1

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PACE: Prune-And-Compress Ensemble Models

cs.LG · 2026-05-07 · unverdicted · novelty 6.0

PACE interleaves active generation of diverse learners with subsequent pruning to produce smaller ensembles that retain performance and offer faithfulness guarantees.

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  • PACE: Prune-And-Compress Ensemble Models cs.LG · 2026-05-07 · unverdicted · none · ref 8

    PACE interleaves active generation of diverse learners with subsequent pruning to produce smaller ensembles that retain performance and offer faithfulness guarantees.