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Continual Classification Learning Using Generative Models., , , and . CoRR, (2018)Margin and Radius Based Multiple Kernel Learning., , , and . ECML/PKDD (1), volume 5781 of Lecture Notes in Computer Science, page 330-343. Springer, (2009)Variational Saccading: Efficient Inference for Large Resolution Images., , , and . CoRR, (2018)Approaches to dimensionality reduction in proteomic biomarker studies., and . Briefings Bioinform., 9 (2): 102-118 (2008)Representational Issues in Meta-Learning., and . ICML, page 313-320. AAAI Press, (2003)Forecasting and Granger Modelling with Non-linear Dynamical Dependencies., , and . ECML/PKDD (2), volume 10535 of Lecture Notes in Computer Science, page 544-558. Springer, (2017)Learning Neighborhoods for Metric Learning., , and . ECML/PKDD (1), volume 7523 of Lecture Notes in Computer Science, page 223-236. Springer, (2012)Adaptive Matching Based Kernels for Labelled Graphs., , and . PAKDD (2), volume 6119 of Lecture Notes in Computer Science, page 374-385. Springer, (2010)A metric learning perspective of SVM: on the relation of LMNN and SVM., , , and . AISTATS, volume 22 of JMLR Proceedings, page 308-317. JMLR.org, (2012)Convex formulations of radius-margin based Support Vector Machines., and . ICML (1), volume 28 of JMLR Workshop and Conference Proceedings, page 169-177. JMLR.org, (2013)