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Incorporating Invariances in Support Vector Learning Machines, , и . Artificial Neural Networks --- ICANN'96, стр. 47~-~52. Berlin, Springer Lecture Notes in Computer Science, Vol.~1112, (1996)Shrinking the tube: a new support vector regression algorithm, , , и . Advances in Neural Information Processing Systems 11, стр. 330 -- 336. Cambridge, MA, MIT Press, (1999)A Review of Kernel Methods in Machine Learning, , и . Research Report, 156. Max Planck Institute for Technical Cybernetics (MPI), Max Planck Institute for Technical Cybernetics (MPI), (декабря 2006)Kernel Principal Component Analysis, , и . Advances in Kernel Methods---Support Vector Learning, стр. 327--352. (1999)A Generalized Representer Theorem, , и . Proceedings of the Annual Conference on Learning Theory, (2001)Learning with Kernels, и . MIT Press, (2002)A Regularization Framework for Learning from Graph Data, и . стр. 132-137. (2004)An Introduction to Kernel-Based learning Algorithms, , , , и . IEEE Transactions on Neural Networks, 12 (2): 181--202 (2001)Correcting Sample Selection Bias by Unlabeled Data, , , , и . Advances in Neural Information Processing Systems, 19, The MIT Press, Cambridge, MA, (2007)Pre-proceedings version.Semi--supervised Learning, , и . MIT Press, (2006)