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A Classification Framework for Anomaly Detection. Los Alamos National Laboratory Technical Report LA-UR 04-4716, (2004)Global Minima of DNNs: The Plenty Pantry., and . CoRR, (2019)Support Vector Machines are Universally Consistent.. J. Complex., 18 (3): 768-791 (2002)Sparsity of SVMs that use the epsilon-insensitive loss., and . NIPS, page 1569-1576. Curran Associates, Inc., (2008)Function Classes That Approximate the Bayes Risk., , and . COLT, volume 4005 of Lecture Notes in Computer Science, page 79-93. Springer, (2006)Optimal Rates for Regularized Least Squares Regression., , and . COLT, (2009)Gaps in Support Vector Optimization., , , and . COLT, volume 4539 of Lecture Notes in Computer Science, page 336-348. Springer, (2007)An SVM-like approach for expectile regression., and . Comput. Stat. Data Anal., (2017)On the optimal parameter choice for $\nu$-support vector machines. University Jena, (2002)Learning Rates for Kernel-Based Expectile Regression., and . CoRR, (2017)