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Boosting Classifiers Built from Different Subsets of Features., , and . Fundam. Inform., 96 (1-2): 89-109 (2009)An Experimental Study on Learning with Good Edit Similarity Functions., , and . ICTAI, page 126-133. IEEE Computer Society, (2011)Domain Adaptation with Good Edit Similarities: A Sparse Way to Deal with Scaling and Rotation Problems in Image Classification., , and . ICTAI, page 181-188. IEEE Computer Society, (2011)Learning Constrained Edit State Machines., , , , and . ICTAI, page 734-741. IEEE Computer Society, (2009)A Comparison of Some Contextual Discretization Methods., , and . Inf. Sci., 92 (1-4): 137-157 (1996)Impact of learning set quality and size on decision tree performances., , , and . Int. J. Comput. Syst. Signal, 1 (1): 85-105 (2000)On State Merging in Grammatical Inference: A Statistical Approach for Dealing with Noisy Data., and . ICML, page 688-695. AAAI Press, (2003)Instance Pruning as an Information Preserving Problem., and . ICML, page 855-862. Morgan Kaufmann, (2000)Learning discriminative tree edit similarities for linear classification - Application to melody recognition., , , and . Neurocomputing, (2016)beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data., , and . NIPS, page 4358-4366. (2016)