Learning Interpretable Characteristic Kernels via Decision Forests

Sambit Panda, Cencheng Shen, Joshua T. Vogelstein

Decision forests are widely used for classification and regression tasks. A lesser known property of tree-based methods is that one can construct a proximity matrix from the tree(s…