Spectral analysis of tree ensembles produces minimax rates for random forests governed by kernel eigenvalue decay and enables distillation of RFs and GBMs into compact models via leading eigenfunctions and singular vectors.
Interpreting models via single tree approximation
2 Pith papers cite this work. Polarity classification is still indexing.
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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
PACE interleaves active generation of diverse learners with subsequent pruning to produce smaller ensembles that retain performance and offer faithfulness guarantees.