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Gradient-Based Learning Applied to Document Recognition

, , , and . Intelligent Signal Processing, page 306--351. IEEE Computer Society, (2001)

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Structural Risk Minimization for Character Recognition, , , , and . Advances in Neural Information Processing Systems 4, page 471--479. Morgan Kaufmann, (1992)Gradient-based learning applied to document recognition, , , and . Proceedings of the IEEE, 86 (11): 2278-2324 (Nov)Fast Kernel Classifiers with Online and Active Learning, , , and . Journal of Machine Learning Research, (2005)Comparison of classifier methods: A case study in handwritten digit recognition, , and . Proceedings of the 12th International Conference on Pattern Recognition, Los Alamitos, CA., 2, page 77--82. (1994)Geometric clustering using the information bottleneck method, , and . Advances in neural information processing systems, (2004)Gradient-Based Learning Applied to Document Recognition, , , and . Intelligent Signal Processing, page 306--351. IEEE Computer Society, (2001)Batch and online learning algorithms for nonconvex neyman-pearson classification, , , and . ACM TIST, 2 (3): 28 (2011)The Tradeoffs of Large Scale Learning, and . Advances in Neural Information Processing Systems, 20, NIPS Foundation (http://books.nips.cc), (2008)Stochastic Learning. Advanced Lectures on Machine Learning, Springer Verlag, Berlin, (2004)Optimization Methods for Large-Scale Machine Learning, , and . SIAM Review, 60 (2): 223--311 (Jan 8, 2018)