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A data-driven kernel method assimilation technique for geophysical modelling.

, , , and . Optim. Methods Softw., 32 (2): 237-249 (2017)

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Learning networks in rainfall estimation., , and . Comput. Manag. Science, 2 (3): 229-251 (2005)Learning networks for tornado detection., , and . Int. J. General Systems, 35 (1): 93-107 (2006)Uniqueness and Causes of the California Drought., and . Complex Adaptive Systems, volume 61 of Procedia Computer Science, page 428-435. Elsevier, (2015)Assessing Atmospheric Variability using Kernel Principal Component Analysis., and . Complex Adaptive Systems, volume 12 of Procedia Computer Science, page 288-293. Elsevier, (2012)Active Learning with Support Vector Machines for Tornado Prediction., , and . International Conference on Computational Science (1), volume 4487 of Lecture Notes in Computer Science, page 1130-1137. Springer, (2007)Can principal component analysis provide atmospheric circulation or teleconnection patterns?, and . Int. J. Climatol., 28 (6): 703--726 (2008)Constructing an Efficient Machine Learning Model for Tornado Prediction., , , , , and . Int. J. Inf. Technol. Decis. Mak., 19 (5): 1177-1187 (2020)Linear classification tikhonov regularization knowledge-based support vector machine for tornado forecasting., , and . Comput. Manag. Science, 8 (3): 281-297 (2011)Machine-learning classifiers for imbalanced tornado data., , , and . Comput. Manag. Science, 11 (4): 403-418 (2014)Identification of severe weather outbreaks using kernel principal component analysis., , and . Complex Adaptive Systems, volume 6 of Procedia Computer Science, page 231-236. Elsevier, (2011)