AI RESEARCH
Revisiting Forest Proximities via Sparse Leaf-Incidence Kernels
arXiv CS.LG
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ArXi:2601.02735v2 Announce Type: replace Decision forests induce supervised similarities through the partition structure of their trees. Yet forest proximity computation is still often treated as a quadratic operation in the number of samples, which limits scalability and restricts broader use in kernel and representation-learning pipelines. We