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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,657 papers · 148 categories

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2 results for “under-bagging”

Under-bagging Nearest Neighbors for Imbalanced Classificationstat.ML

Under-bagging $k$ -NN improves performance on imbalanced classification.

problem Imbalanced classification problems where one class is significantly underrepresented.

method Proposes an under-bagging

k

-NN ensemble learning algorithm, analyzing convergence rates and efficiency.

result Achieves optimal convergence rates under mild assumptions and reduces sub-sample size and

k

for highly imbalanced data.

ensemble learning imbalanced classification under-bagging k-nearest neighbors learning theory

2021-09-01abs ↗pdf ↗

A replica analysis of under-baggingstat.ML

Study compares under-bagging with other methods for imbalanced data.

problem Comparing under-bagging with other methods for imbalanced data.

method Replica analysis of under-bagging, comparing with under-sampling and simple weighting.

result Under-bagging improves performance by increasing the majority class size.

imbalanced data under-bagging replica analysis ensemble learning linear models

2024-04-15abs ↗pdf ↗