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An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naive Bayes., , , , , , , , , and 5 other author(s). KDD Cup, volume 7 of JMLR Proceedings, page 57-64. JMLR.org, (2009)Projected gradient methods for nonnegative matrix factorization. Neural computation, 19 (10): 2756--2779 (2007)A Comparison of Optimization Methods and Software for Large-scale L1-regularized Linear Classification., , , and . J. Mach. Learn. Res., (2010)Iteration complexity of feasible descent methods for convex optimization., and . J. Mach. Learn. Res., 15 (1): 1523-1548 (2014)An Improved GLMNET for L1-regularized Logistic Regression., , and . J. Mach. Learn. Res., (2012)Introduction to the Special Issue on the Best Papers from KDD 2018., and . ACM Trans. Knowl. Discov. Data, 14 (5): 51e:1-51e:2 (2020)Embedding Complete Binary Trees into Faulty Flexible Hypercubes with Unbounded Expansion., and . Informatica (Slovenia), 27 (1): 75-80 (2003)Field-aware Factorization Machines for CTR Prediction., , , and . RecSys, page 43-50. ACM, (2016)A dual coordinate descent method for large-scale linear SVM., , , , and . ICML, volume 307 of ACM International Conference Proceeding Series, page 408-415. ACM, (2008)A study on reduced support vector machines., and . IEEE Trans. Neural Networks, 14 (6): 1449-1459 (2003)