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arXiv Machine Learning By Paulo C. Marques F., Rinaldo Artes, Helton Graziadei

Projected random forests and conformal prediction of circular data

Read the original on arXiv Machine Learning →

arXiv:2410. 24145v3 Announce Type: replace-cross Abstract: We apply conformal prediction techniques to regression problems with circular responses, producing prediction sets with adaptive arc length and finite-sample coverage guarantees for any circular predictive model under the assumption of data exchangeability.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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