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» Boosted Backpropagation Learning for Training Deep Modular N...
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ICML
2010
IEEE
14 years 11 months ago
Boosted Backpropagation Learning for Training Deep Modular Networks
Alexander Grubb, J. Andrew Bagnell
ICASSP
2011
IEEE
14 years 5 months ago
Deep belief nets for natural language call-routing
This paper considers application of Deep Belief Nets (DBNs) to natural language call routing. DBNs have been successfully applied to a number of tasks, including image, audio and ...
Ruhi Sarikaya, Geoffrey E. Hinton, Bhuvana Ramabha...
IDEAL
2000
Springer
15 years 5 months ago
Observational Learning with Modular Networks
Observational learning algorithm is an ensemble algorithm where each network is initially trained with a bootstrapped data set and virtual data are generated from the ensemble for ...
Hyunjung Shin, Hyoungjoo Lee, Sungzoon Cho
ICDAR
2007
IEEE
15 years 7 months ago
Energy-Based Models in Document Recognition and Computer Vision
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...
Yann LeCun, Sumit Chopra, Marc'Aurelio Ranzato, Fu...