8 citations · 14 across the 5 of their papers we have counts for
Showing stat.MLShow all
2 papers · 1 filter
stat.ML2020
Robust Similarity and Distance Learning via Decision Forests
Tyler M. Tomita, Joshua T. Vogelstein
Canonical distances such as Euclidean distance often fail to capture the appropriate relationships between items, subsequently leading to subpar inference and prediction. Many algo…
stat.ML2015★ 8 cited
Sparse Projection Oblique Randomer Forests
Tyler M. Tomita, James Browne, Cencheng Shen +8
Decision forests, including Random Forests and Gradient Boosting Trees, have recently demonstrated state-of-the-art performance in a variety of machine learning settings. Decision…