The work defines a Selective-Exclusion handoff contract for hierarchical L2D, proves nodewise Bayes rules can be incoherent, and supplies exact dynamic-programming projection and TBP+RPO that drive incoherence to near zero on medical benchmarks.
Edge-weighted incoherence.In addition to the neighbourhood partition, we also compute an edge-weighted view in which the unit of analysis is the immediate parent–child edge
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Coherent Hierarchical Multi-Label Learning to Defer for Medical Imaging
The work defines a Selective-Exclusion handoff contract for hierarchical L2D, proves nodewise Bayes rules can be incoherent, and supplies exact dynamic-programming projection and TBP+RPO that drive incoherence to near zero on medical benchmarks.