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Principles of Risk Minimization for Learning Theory

. Advances in Neural Information Processing Systems 4, стр. 831--838. Morgan Kaufmann, (1992)

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V Saile

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V Adams

 

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Structural Risk Minimization for Character Recognition, , , , и . Advances in Neural Information Processing Systems 4, стр. 471--479. Morgan Kaufmann, (1992)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)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 (15.11.1993)Comparing support vector machines with Gaussian kernels to radial basis function classifiers, , , , , , и . Signal Processing, IEEE Transactions on, 45 (11): 2758-2765 (ноября 1997)Comparision of classifier methods: A case study in handwriting digit recognition, , , , , , , , , и . Proceedings of the International Conference on Pattern Recognition, (1994)Predicting time series with support vector machines, , , , , и . Proceedings of the Seventh International Conference on Artificial Neural Networks: ICANN-97, стр. 999--1004. Springer-Verlag, (1997)Principles of Risk Minimization for Learning Theory. Advances in Neural Information Processing Systems 4, стр. 831--838. Morgan Kaufmann, (1992)Extracting support data for a given task, , и . Proceedings of the International Conference on Knowledge Discovery and Data Mining, (1995)Discovering informative patterns and data cleaning., , и . Advances in Knowledge Discovery and Data Mining, стр. 181--203. (1996)