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Published in arXiv preprint, 2020
Exploring lifelong learning algorithms: Omnidirectional Forests (Odif) and Omnidirectional Networks (Odin)
Recommended citation: Vogelstein, J.T., Dey, J., Helm, H.S., LeVine, W., Mehta, R.D., Geisa, A., Xu, H., Ven, G.M., Chang, E.J., Gao, C., Yang, W., Tower, B., Larson, J., White, C., & Priebe, C.E. (2020). Omnidirectional Transfer for Quasilinear Lifelong Learning. https://arxiv.org/abs/2004.12908
Published in arXiv preprint, 2021
Conceptual & empirical comparisons between decision forests & deep networks
Recommended citation: Xu, H., Kinfu, K.A., LeVine, W., Panda, S., Dey, J., Ainsworth, M., Peng, Y., Kusmanov, M., Engert, F., White, C.M., Vogelstein, J.T., & Priebe, C.E. (2021). When are Deep Networks really better than Decision Forests at small sample sizes, and how? https://arxiv.org/abs/2108.13637