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Fast and simple gradient-based optimization for semi-supervised support vector machines., , , and . Neurocomputing, (2014)Artistic movement recognition by consensus of boosted SVM based experts., and . J. Visual Communication and Image Representation, (2018)Learning Selection Masks for Deep Neural Networks., and . CoRR, (2019)On GPU-Based Nearest Neighbor Queries for Large-Scale Photometric Catalogs in Astronomy., , , and . KI, volume 8077 of Lecture Notes in Computer Science, page 86-97. Springer, (2013)Batch Steepest-Descent-Mildest-Ascent for Interactive Maximum Margin Clustering., , and . IDA, volume 9385 of Lecture Notes in Computer Science, page 95-107. Springer, (2015)Support Vector Machines for Wind Energy Prediction in Smart Grids., , and . EnviroInfo, page 16-24. Shaker, (2013)Sparse Quasi-Newton Optimization for Semi-supervised Support Vector Machines., , , and . ICPRAM (1), page 45-54. SciTePress, (2012)Unsupervised Multi-class Regularized Least-Squares Classification., , , and . ICDM, page 585-594. IEEE Computer Society, (2012)Training Big Random Forests with Little Resources., and . KDD, page 1445-1454. ACM, (2018)Polynomial Runtime Bounds for Fixed-Rank Unsupervised Least-Squares Classification., , and . ACML, volume 29 of JMLR Workshop and Conference Proceedings, page 62-71. JMLR.org, (2013)