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Found 3 papers, 1 papers with code
PACSET (Packed Serialized Trees): Reducing Inference Latency for Tree Ensemble Deployment
We present methods to serialize and deserialize tree ensembles that optimize inference latency when models are not already loaded into memory.
Geodesic Learning via Unsupervised Decision Forests
Empirical results on simulated and real data demonstrate that URerF is robust to high-dimensional noise, where as other methods, such as Isomap, UMAP, and FLANN, quickly deteriorate in such settings.
Sparse Projection Oblique Randomer Forests
Unfortunately, these extensions forfeit one or more of the favorable properties of decision forests based on axis-aligned splits, such as robustness to many noise dimensions, interpretability, or computational efficiency.
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