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Structural Risk Minimization for Character Recognition, , , , and . Advances in Neural Information Processing Systems 4, page 471--479. Morgan Kaufmann, (1992)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)Comparision of classifier methods: A case study in handwriting digit recognition, , , , , , , , , and . Proceedings of the International Conference on Pattern Recognition, (1994)Estimation of Dependences Based on Empirical Data. Springer-Verlag, (1982)Three fundamental concepts of the capacity of learning machines. Physica A: Statistical and Theoretical Physics, 200 (1-4): 538--544 (Nov 15, 1993)Comparing support vector machines with Gaussian kernels to radial basis function classifiers, , , , , , and . Signal Processing, IEEE Transactions on, 45 (11): 2758-2765 (November 1997)Predicting time series with support vector machines, , , , , and . Proceedings of the Seventh International Conference on Artificial Neural Networks: ICANN-97, page 999--1004. Springer-Verlag, (1997)Support-vector network, and . Machine Learning, (1995)Principles of Risk Minimization for Learning Theory. Advances in Neural Information Processing Systems 4, page 831--838. Morgan Kaufmann, (1992)Extracting support data for a given task, , and . Proceedings of the International Conference on Knowledge Discovery and Data Mining, (1995)