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Incorporating Invariances in Support Vector Learning Machines

, , and . Artificial Neural Networks --- ICANN'96, page 47~-~52. Berlin, Springer Lecture Notes in Computer Science, Vol.~1112, (1996)

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Incorporating Invariances in Support Vector Learning Machines, , and . Artificial Neural Networks --- ICANN'96, page 47~-~52. Berlin, Springer Lecture Notes in Computer Science, Vol.~1112, (1996)Shrinking the tube: a new support vector regression algorithm, , , and . Advances in Neural Information Processing Systems 11, page 330 -- 336. Cambridge, MA, MIT Press, (1999)Kernel Principal Component Analysis, , and . Advances in Kernel Methods---Support Vector Learning, page 327--352. (1999)A Generalized Representer Theorem, , and . Proceedings of the Annual Conference on Learning Theory, (2001)A Review of Kernel Methods in Machine Learning, , and . Research Report, 156. Max Planck Institute for Technical Cybernetics (MPI), Max Planck Institute for Technical Cybernetics (MPI), (December 2006)A Regularization Framework for Learning from Graph Data, and . page 132-137. (2004)Learning with Kernels, and . MIT Press, (2002)Correcting Sample Selection Bias by Unlabeled Data, , , , and . Advances in Neural Information Processing Systems, 19, The MIT Press, Cambridge, MA, (2007)Pre-proceedings version.Semi--supervised Learning, , and . MIT Press, (2006)Extracting support data for a given task, , and . Proceedings of the International Conference on Knowledge Discovery and Data Mining, (1995)