Deterministic bounds on accuracy and stability of metric-space regression and classification
Read the original at arxiv.org→arXiv:2610.22564v1 Announce Type: new Abstract: Data-driven approaches often face ambiguity in datasets due to sensor or target noise, insufficient information, and noise in the input data. While best-fit machine...
Original headline: "Deterministic Bounds on Accuracy and Stability of Metric-Space Regression and Classification"
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- Oct 19, 04:00 UTC arXiv cs.LG lead source Deterministic Bounds on Accuracy and Stability of Metric-Space Regression and Classification