| 102. | [LeCun et al., 2001] |
927KB 688KB |
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner, "Gradient-Based Learning Applied to Document Recognition," in Intelligent Signal Processing, pp. 306-351, 2001. |
| 96. | [LeCun et al., 1999] |
427KB 434KB |
Y. LeCun, P. Haffner, L. Bottou, and Y. Bengio, "Gradient-Based Learning for Object Detection, Segmentation and Recognition," AT&T Labs, 1999. |
| 95. | [LeCun et al., 1999] |
393KB 415KB |
Y. LeCun, P. Haffner, L. Bottou, and Y. Bengio, "Object Recognition with Gradient-Based Learning," in Feature Grouping, (D. Forsyth, ed.), 1999. |
| 91. | [LeCun et al., 1998] |
148KB 782KB |
Y. LeCun, L. Bottou, P. Haffner, and P. Howard, "DjVu: a compression method for distributing scanned documents in color over the internet," in Color 6, 1998. |
| 90. | [LeCun et al., 1998] |
318KB 291KB |
Y. LeCun, L. Bottou, G. Orr, and K. Muller, "Efficient BackProp," in Neural Networks: Tricks of the trade, (G. Orr and Muller K., eds.), 1998. |
| 79. | [Guyon and LeCun and Warwick, 1996] |
88KB |
I. Guyon, Y. LeCun, and C. Warwick, "Usability study of text entry interfaces for personnal organizers," AT&T Bell Labs, 1996. |
| 74. | [LeCun and Bengio, 1995] |
105KB 50KB |
Y. LeCun and Y. Bengio, "Pattern Recognition and Neural Networks," in The Handbook of Brain Theory and Neural Networks, (M. A. Arbib, ed.), 1995. |
| 69. | [Drucker et al., 1994] |
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H. Drucker, C. Cortes, L. D. Jackel, Y. LeCun, and V. Vapnik, "Boosting and Other Ensemble Methods," Neural Computation, vol. 6, no. 6, Nov. 1994. |
| 64. | [Vapnik and Levin and LeCun, 1994] |
144KB 87KB |
V. Vapnik, E. Levin, and Y. LeCun, "Measuring the VC-dimension of a Learning Machine," Neural Computation, vol. 6, no. 5, pp. 851-876, 1994. |
| 61. | [Drucker et al., 1994] |
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H. Drucker, C. Cortes, L. D. Jackel, Y. LeCun, and V. Vapnik, "Boosting and Other Ensemble Methods," in Proc of the 1994 Machine Learning conference, 1994. |
| 55. | [LeCun and Denker, 1992] |
101KB |
Yann LeCun and John S. Denker, "Natural versus Universal Probability Complexity, and Entropy," in IEEE Workshop on the Physics of Computation, pp. 122-127, 1992. |
| 48. | [LeCun, 1992] |
109KB |
Y. LeCun, "A theoretical framework for Back-Propagation," in Artificial Neural Networks: concepts and theory, (P. Mehra and B. Wah, eds.), (Los Alamitos, CA), 1992. |
| 34. | [Denker and LeCun, 1991] |
137KB |
J. S. Denker and Y. LeCun, "transforming neural-net output levels to probability distributions," AT&T Bell Laboratories, 1991. |
| 15. | [LeCun, 1989] |
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Y. LeCun, "Generalization and Network Design Strategies," in Connectionism in Perspective, (R. Pfeifer, Z. Schreter, F. Fogelman, and L. Steels, eds.), (Zurich, Switzerland), 1989. |
| 14. | [LeCun, 1989] |
172KB |
Y. LeCun, "Generalization and Network Design Strategies," Department of Computer Science, University of Toronto, 1989. |
| 12. | [LeCun and Bottou, 1988] |
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Y. LeCun and Leon-Yves Bottou, "SN: A Simulator For Connectionist Models", Mar. 1988. |
| 10. | [Bottou and LeCun, 1988] |
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L.-Y. Bottou and Y. LeCun, "SN: A Simulator for Connectionist Models," in Proceedings of NeuroNimes 88, (Nimes, France), 1988. |
| 9. | [LeCun, 1987] |
2515KB |
Y. LeCun, "Modeles connexionnistes de l'apprentissage (connectionist learning models)", June 1987. |
| 8. | [LeCun and Fogelman-Soulie, 1987] |
475KB |
Y. LeCun and F. Fogelman-Soulie, "Modeles connexionnistes de l'apprentissage," Intellectica, special issue apprentissage et machine, Mar. 1987. |
| 2. | [LeCun, 1985] |
114KB |
Y. LeCun, "A Learning Scheme for Asymmetric Threshold Networks," in Proceedings of Cognitiva 85, (Paris, France), pp. 599-604, 1985. |