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Hehn, T.M. (author), Kooij, J.F.P. (author), Hamprecht, Fred A. (author)Conventional decision trees have a number of favorable properties, including a small computational footprint, interpretability, and the ability to learn from little training data. However, they lack a key quality that has helped fuel the deep learning revolution: that of being end-to-end trainable. Kontschieder et al. (ICCV, 2015) have...journal article 2019