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Bounds on error expectation for SVM

, and . Advances in Large Margin Classifiers, page 261-280. Cambridge, MA, MIT Press, (2000)

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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)Structural Risk Minimization for Character Recognition, , , , and . Advances in Neural Information Processing Systems 4, page 471--479. Morgan Kaufmann, (1992)Comparision of classifier methods: A case study in handwriting digit recognition, , , , , , , , , and . Proceedings of the International Conference on Pattern Recognition, (1994)Principles of Risk Minimization for Learning Theory. Advances in Neural Information Processing Systems 4, page 831--838. Morgan Kaufmann, (1992)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)Extracting support data for a given task, , and . Proceedings of the International Conference on Knowledge Discovery and Data Mining, (1995)Discovering informative patterns and data cleaning., , and . Advances in Knowledge Discovery and Data Mining, page 181--203. (1996)Predicting Time Series with Support Vector Machines, , , , , and . Advances in Kernel Methods --- Support Vector Learning, page 243--254. Cambridge, MA, MIT Press, (1999)Short version appeared in ICANN'97, Springer Lecture Notes in Computer Science.Bounds on error expectation for SVM, and . Advances in Large Margin Classifiers, page 261-280. Cambridge, MA, MIT Press, (2000)