arXiv cs.LG
· Papers
Revisiting Forest Proximities via Sparse Leaf-Incidence Kernels
arXiv:2601.02735v3 Announce Type: replace Abstract: 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