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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.

169,051 papers · 148 categories

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1 result for “EOMR”
On a joint simultaneous learning of relevant feature subsets and subspaces in regression-like problemsstat.ML

EOMR improves regression accuracy in chaotic systems by identifying relevant feature subsets and subspaces.

problem Learning relevant feature subsets and subspaces in nonstationary and nonlinear regression problems.
method Jointly identifies relevant feature subsets and subspaces using Entropy-Optimal Manifold Regression (EOMR).
result EOMR achieves orders of magnitude better prediction accuracy than state-of-the-art AI and ML tools.
RegressionFeature SelectionSubspace IdentificationEOMRChaotic Systems
2026-07-30abs ↗pdf ↗