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Kernel PCA and De-Noising in Feature Spaces., , , , , and . NIPS, page 536-542. The MIT Press, (1998)A New Discriminative Kernel From Probabilistic Models., , , , and . NIPS, page 977-984. MIT Press, (2001)On the Convergence of Leveraging., , and . NIPS, page 487-494. MIT Press, (2001)Large Scale Hidden Semi-Markov SVMs., and . NIPS, page 1161-1168. MIT Press, (2006)Boosting Algorithms for Maximizing the Soft Margin., , and . NIPS, page 1585-1592. Curran Associates, Inc., (2007)Exploiting physico-chemical properties in string kernels., , , and . BMC Bioinformatics, 11 (S-8): S7 (2010)An Empirical Analysis of Topic Modeling for Mining Cancer Clinical Notes., , , , , , and . ICDM Workshops, page 56-63. IEEE Computer Society, (2013)Prototype Classification: Insights from Machine Learning., , , and . Neural Computation, 21 (1): 272-300 (2009)Solving Semi-infinite Linear Programs Using Boosting-Like Methods.. ALT, volume 4264 of Lecture Notes in Computer Science, page 10-11. Springer, (2006)Clustering Meets Implicit Generative Models., , , , , and . ICLR (Workshop), OpenReview.net, (2018)