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Joint Semi-supervised Similarity Learning for Linear Classification., , , and . ECML/PKDD (1), volume 9284 of Lecture Notes in Computer Science, page 594-609. Springer, (2015)Theoretical Analysis of Domain Adaptation with Optimal Transport., , and . CoRR, (2016)Theoretical Analysis of Domain Adaptation with Optimal Transport., , and . ECML/PKDD (2), volume 10535 of Lecture Notes in Computer Science, page 737-753. Springer, (2017)Experiments on a Representation-Independent "Top-Down and Prune" Induction Scheme., , and . PKDD, volume 1704 of Lecture Notes in Computer Science, page 223-231. Springer, (1999)Stopping Criterion for Boosting-Based Data Reduction Techniques: from Binary to Multiclass Problem., , and . J. Mach. Learn. Res., (2002)Algorithmic Robustness for Semi-Supervised (ε, γ, τ)-Good Metric Learning., , , , and . ICLR (Workshop), (2015)Learning probabilistic models of tree edit distance., , , and . Pattern Recognit., 41 (8): 2611-2629 (2008)An improved bound on the finite-sample risk of the nearest neighbor rule., and . Pattern Recognit. Lett., 22 (3/4): 407-412 (2001)Advances in Adaptive Prototype Weighting and Selection., and . Int. J. Artif. Intell. Tools, 10 (1-2): 137-155 (2001)Correction of Uniformly Noisy Distributions to Improve Probabilistic Grammatical Inference Algorithms., , and . FLAIRS, page 493-498. AAAI Press, (2005)