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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.

168,932 papers · 148 categories

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0111 · Mar 201719922001200920172026
9 results for quality-based

HDI-Forest improves regression prediction intervals using Random Forest.

problem Improving the quality of prediction intervals in regression tasks.
method HDI-Forest is a novel quality-based PI estimation method based on Random Forest, optimizing PI quality metrics directly from standard tree-based models.
result HDI-Forest significantly reduces PI width by over 20% compared to previous methods, while maintaining or improving coverage probability.

A general formulation of optimization problems in which various candidate solutions may use different feature-sets is presented, encompassing supervised classification, automated program learning and other cases. A novel characterization of the concept of a "good quality feature" for such an optimization problem is pro…

2017-03-20abs ↗pdf ↗

AirRL uses RL to infer urban air quality from selected stations.

problem Inferring fine-grained urban air quality from limited monitoring stations.
method Reinforcement learning model with a dynamic station selector and air quality regressor.
result AirRL achieves highest performance in air quality inference experiments.

Self-supervised learning improves ECG classification performance.

problem Label scarcity in clinical 12-lead ECG data.
method Adapted self-supervised methods to ECG domain, focusing on contrastive representations and latent forecasting.
result Contrastive predictive coding adaptation yields linear evaluation performance only 0.5% below supervised performance.