A heuristic method for simulating open-data of arbitrary complexity that can be used to compare and evaluate machine learning methods - researchr publication authors

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Jason H. Moore, Maksim Shestov, Peter Schmitt, Randal S. Olson. A heuristic method for simulating open-data of arbitrary complexity that can be used to compare and evaluate machine learning methods. In Russ B. Altman, A. Keith Dunker, Lawrence Hunter, Marylyn D. Ritchie, Teri E. Klein, editors, Biocomputing 2018: Proceedings of the Pacific Symposium, The Big Island of Hawaii, Hawaii, USA, January 3-7, 2018. pages 259-267, 2018. [doi]

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