Using Machine Learning Methods to Predict Bias in Nuclear Criticality Safety
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[1] Bianca Zadrozny,et al. Learning and evaluating classifiers under sample selection bias , 2004, ICML.
[2] B. Rearden,et al. Sensitivity- and Uncertainty-Based Criticality Safety Validation Techniques , 2004 .
[3] R. Fullwood,et al. Lecture notes for criticality safety , 1992 .
[4] Thomas G. Dietterich,et al. Machine Learning Bias, Statistical Bias, and Statistical Variance of Decision Tree Algorithms , 2008 .
[5] Forrest B. Brown,et al. User Manual for Whisper-1.1 , 2017 .
[6] Anthony Widjaja,et al. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond , 2003, IEEE Transactions on Neural Networks.
[7] Adrian F. M. Smith,et al. A Bayesian CART algorithm , 1998 .
[8] Gustavo E. A. P. A. Batista,et al. Data mining with imbalanced class distributions: concepts and methods , 2009, IICAI.
[9] B. Rearden. Perturbation Theory Eigenvalue Sensitivity Analysis with Monte Carlo Techniques , 2004 .
[10] 安藤 寛,et al. Cross-Validation , 1952, Encyclopedia of Machine Learning and Data Mining.
[11] Trevor J. Hastie,et al. Confidence intervals for random forests: the jackknife and the infinitesimal jackknife , 2013, J. Mach. Learn. Res..
[12] Forrest B. Brown,et al. Lecture Notes on Criticality Safety Validation Using MCNP & Whisper , 2016 .
[13] D.P. Solomatine,et al. AdaBoost.RT: a boosting algorithm for regression problems , 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).
[14] John S. Hendricks,et al. Initial MCNP6 Release Overview , 2012 .
[15] Thomas G. Dietterich. Multiple Classifier Systems , 2000, Lecture Notes in Computer Science.
[16] Forrest B. Brown,et al. Whisper: Sensitivity/Uncertainty-Based Computational Methods and Software for Determining Baseline Upper Subcritical Limits , 2015 .
[17] Forrest B. Brown,et al. Methodology, verification, and performance of the continuous-energy nuclear data sensitivity capability in MCNP6 , 2013 .
[18] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[19] Pat Langley,et al. Selection of Relevant Features and Examples in Machine Learning , 1997, Artif. Intell..
[20] Harris Drucker,et al. Improving Regressors using Boosting Techniques , 1997, ICML.
[21] Leo Breiman,et al. Random Forests , 2001, Machine Learning.