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F. Setoudehtanzangi

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#machine learning Preprint Sep 2026

Large Classification-Risk-Optional Label Acquisition

We study how a limited labeling budget should be allocated to minimize multiclass zero-one classification risk. We consider parametric classification problems in which features are observed for all sampling units while class labels can be acquired selectively. By combining the Fisher information supplied by an acquired...

F. Setoudehtanzangi, Geoffrey J. McLachlan · 0 citations

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