作者: Shriram Srinivasan , Eric Cawi , Jeffrey Hyman , Dave Osthus , Aric Hagberg
DOI: 10.1007/S10596-020-09962-5
关键词: Classifier (UML) 、 Sample space 、 Breakthrough curve 、 Discrete fracture 、 Random forest 、 Machine learning 、 Social connectedness 、 Artificial intelligence 、 Computers in Earth Sciences 、 Computational Theory and Mathematics 、 Computational mathematics 、 Computer Science Applications
摘要: … While small backbones are advantageous for the high-fidelity simulations, it makes for a highly imbalanced classification problem for the machine learning algorithm. This class …