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» Learning minimal abstractions
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HIS
2008
15 years 1 months ago
Neural Plasticity and Minimal Topologies for Reward-Based Learning
Artificial Neural Networks for online learning problems are often implemented with synaptic plasticity to achieve adaptive behaviour. A common problem is that the overall learning...
Andrea Soltoggio
49
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COLT
2004
Springer
15 years 5 months ago
Local Complexities for Empirical Risk Minimization
Peter L. Bartlett, Shahar Mendelson, Petra Philips
86
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IJCNN
2006
IEEE
15 years 6 months ago
An Adaptive Penalty-Based Learning Extension for Backpropagation and its Variants
Abstract— Over the years, many improvements and refinements of the backpropagation learning algorithm have been reported. In this paper, a new adaptive penalty-based learning ex...
Boris Jansen, Kenji Nakayama
110
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LPAR
2004
Springer
15 years 5 months ago
Abstract DPLL and Abstract DPLL Modulo Theories
DPLL and DPLL Modulo Theories Robert Nieuwenhuis , Albert Oliveras , and Cesare Tinelli We introduce Abstract DPLL, a general and simple abstract rule-based formulation of the Davi...
Robert Nieuwenhuis, Albert Oliveras, Cesare Tinell...