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NN
2010
Springer
118views Neural Networks» more  NN 2010»
13 years 10 months ago
Synaptic rewiring for topographic mapping and receptive field development
Simeon A. Bamford, Alan F. Murray, David J. Willsh...
55
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NN
2010
Springer
225views Neural Networks» more  NN 2010»
13 years 10 months ago
Learning to imitate stochastic time series in a compositional way by chaos
This study shows that a mixture of RNN experts model can acquire the ability to generate sequences that are combination of multiple primitive patterns by means of self-organizing ...
Jun Namikawa, Jun Tani
NN
2010
Springer
143views Neural Networks» more  NN 2010»
13 years 10 months ago
Neural network model for completing occluded contours
— This paper proposes a neural network model capable of completing partly occluded contours. The model is a hierarchical multi-layered network. Using the responses of bend-extrac...
Kunihiko Fukushima
NN
2010
Springer
125views Neural Networks» more  NN 2010»
13 years 10 months ago
Parameter-exploring policy gradients
We present a model-free reinforcement learning method for partially observable Markov decision problems. Our method estimates a likelihood gradient by sampling directly in paramet...
Frank Sehnke, Christian Osendorfer, Thomas Rü...
NN
2010
Springer
143views Neural Networks» more  NN 2010»
13 years 10 months ago
Adaptive critics for dynamic optimization
Raghavendra V. Kulkarni, Ganesh K. Venayagamoorthy
NN
2010
Springer
183views Neural Networks» more  NN 2010»
13 years 10 months ago
Dimensionality reduction for density ratio estimation in high-dimensional spaces
The ratio of two probability density functions is becoming a quantity of interest these days in the machine learning and data mining communities since it can be used for various d...
Masashi Sugiyama, Motoaki Kawanabe, Pui Ling Chui