Forest proximities admit an exact sparse factorization via separable weighted leaf-collision kernels that reduces computation to sparse linear algebra over leaf collisions.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.LG 2years
2026 2representative citing papers
Framework adds feature importance to prototype explanations: local 'alike parts' for shared subsets and global selection for feature diversity, with experiments showing maintained or improved surrogate fidelity on six benchmarks.
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Revisiting Forest Proximities via Sparse Leaf-Incidence Kernels
Forest proximities admit an exact sparse factorization via separable weighted leaf-collision kernels that reduces computation to sparse linear algebra over leaf collisions.
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Alike Parts: A Feature-Informed Approach to Local and Global Prototype Explanations
Framework adds feature importance to prototype explanations: local 'alike parts' for shared subsets and global selection for feature diversity, with experiments showing maintained or improved surrogate fidelity on six benchmarks.