On-device research index

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.

169,291 papers · 148 categories

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3 results for “post-pruning”

Cost-complexity pruning of random forestsstat.ML

Random forests improve by using out-of-bag samples for post-pruning.

problem Improving the generalization error of random forests.

method Post-pruning using out-of-bag samples to improve decision trees and random forest size.

result Consistent decrease in forest size with no significant loss in accuracy.

random forests bootstrap aggregation out-of-bag samples post-pruning generalization error

2017-03-15abs ↗pdf ↗

Covariance-Driven Regression Trees: Reducing Overfitting in CARTstat.ML

Covariance-Driven Regression Trees reduce overfitting in CART.

problem Overfitting in CART decision trees, especially with small sample sizes.

method Covariance-driven splitting criterion for regression trees (CovRT).

result CovRT achieves superior prediction accuracy compared to CART in simulations and real-world tasks.

overfitting CART regression trees covariance machine learning

2026-01-12abs ↗pdf ↗

A Three-regime Model of Network Pruningstat.ML

A model predicts how hyperparameters affect pruning performance.

problem Predicting the impact of hyperparameters on pruning performance.

method Phenomenological model using temperature-like and load-like parameters.

result A sharp transition phenomenon in pruning performance.

machine learning neural networks pruning hyperparameters temperature

2023-05-28abs ↗pdf ↗