JevForest: Path Voting for Budgeted Feature Acquisition

arXiv:2610.10615 · stat.ML, cs.LG · Submitted 2026-10-07 · Read on arXiv

stat.ML, cs.LG

Submitted: 2026-10-07

Updated: 2026-10-07

Code: https://github.com/qzqdz/jevforest

Terminology

• Accuracy — 35× in this paper · explained in 1 episode
• Ablation — 8× in this paper · explained in 1 episode
• Aggregation — 4× in this paper · explained in 1 episode
• Benchmark — 4× in this paper · explained in 2 episodes
• Information Gain — 3× in this paper · explained in 2 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Benchmarking — 2× in this paper · explained in 4 episodes
• Feature Selection — 2× in this paper · explained in 4 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Selection Bias — 1× in this paper · explained in 4 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• Evaluating and Benchmarking the System One Model Jev
• AFABench: A Generic Framework for Benchmarking Active Feature Acquisition
• Character-level Convolutional Networks for Text Classification

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