Decision Trees and Random Forests for Regression and Classification
暂无分享,去创建一个
[1] Stephen M. Lane,et al. HYADES—A plasma hydrodynamics code for dense plasma studies , 1994 .
[2] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[3] Trevor Hastie,et al. The Elements of Statistical Learning , 2001 .
[4] Nancy M. Amato,et al. Radiative effects in radiative shocks in shock tubes , 2011 .
[5] Ryan G. McClarren,et al. Uncertainty Quantification and Predictive Computational Science: A Foundation for Physical Scientists and Engineers , 2018 .
[6] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[7] R. P. Drake,et al. Theory of radiative shocks in the mixed, optically thick-thin case , 2010 .
[8] Erica M. Rutter,et al. A calibration and data assimilation method using the Bayesian MARS emulator , 2013 .
[9] Kelli Humbird,et al. Zonal flow generation in inertial confinement fusion implosions , 2017 .
[10] J. L. Peterson,et al. Deep Neural Network Initialization With Decision Trees , 2017, IEEE Transactions on Neural Networks and Learning Systems.