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Semi-Supervised Classification with Informative Missing Labels in Weibull Mixture Models

This story is from 2026-09-02. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.00774v1 Announce Type: new Abstract: We consider semi-supervised classification from a partially classified sample arising from a two-component Weibull mixture. The feature is observed for all data, whereas some class labels are missing. The probability of a missing label is modelled as…

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  1. 2026-09-02 04:00 · arXiv stat.ML
    Semi-Supervised Classification with Informative Missing Labels in Weibull Mixture Models

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