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Learning long-term dependencies with gradient descent is difficult
- Yoshua Bengio, P. Simard, P. Frasconi
- Computer ScienceIEEE Trans. Neural Networks
- 1 March 1994
TLDR
Best practices for convolutional neural networks applied to visual document analysis
- P. Simard, David Steinkraus, John C. Platt
- Computer ScienceSeventh International Conference on Document…
- 3 August 2003
TLDR
Counterfactual reasoning and learning systems: the example of computational advertising
- L. Bottou, J. Peters, Edward Snelson
- Computer ScienceJ. Mach. Learn. Res.
- 11 September 2012
This work shows how to leverage causal inference to understand the behavior of complex learning systems interacting with their environment and predict the consequences of changes to the system. Such…
Comparison of learning algorithms for handwritten digit recognition
- Yann LeCun, L. Jackel, V. Vapnik
- Computer Science
- 1995
TLDR
Learning algorithms for classification: A comparison on handwritten digit recognition
- Yann LeCun, L. Jackel, V. Vapnik
- Computer Science
- 1995
This paper compares the performance of several classi er algorithms on a standard database of handwritten digits. We consider not only raw accuracy, but also training time, recognition time, and…
Transformation Invariance in Pattern Recognition-Tangent Distance and Tangent Propagation
- P. Simard, Yann LeCun, J. Denker, B. Victorri
- Computer ScienceNeural Networks: Tricks of the Trade
- 1996
TLDR
Comparison of classifier methods: a case study in handwritten digit recognition
- L. Bottou, Corinna Cortes, V. Vapnik
- Computer ScienceProceedings of the 12th IAPR International…
- 9 October 1994
This paper compares the performance of several classifier algorithms on a standard database of handwritten digits. We consider not only raw accuracy, but also training time, recognition time, and…
Efficient Pattern Recognition Using a New Transformation Distance
- P. Simard, Yann LeCun, J. Denker
- Computer ScienceNIPS
- 30 November 1992
TLDR
Time is of the essence: a conjecture that hemispheric specialization arises from interhemispheric conduction delay.
- J. Ringo, R. Doty, S. Demeter, P. Simard
- Biology, PsychologyCerebral cortex
- 1 July 1994
TLDR
High Performance Convolutional Neural Networks for Document Processing
- K. Chellapilla, Sidd Puri, P. Simard
- Computer Science
- 23 October 2006
TLDR
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