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NN
2010
Springer
225views Neural Networks» more  NN 2010»
13 years 4 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
189views Neural Networks» more  NN 2010»
13 years 11 days ago
Sparse kernel learning with LASSO and Bayesian inference algorithm
Kernelized LASSO (Least Absolute Selection and Shrinkage Operator) has been investigated in two separate recent papers (Gao et al., 2008) and (Wang et al., 2007). This paper is co...
Junbin Gao, Paul W. Kwan, Daming Shi
NN
2010
Springer
187views Neural Networks» more  NN 2010»
13 years 11 days ago
Efficient exploration through active learning for value function approximation in reinforcement learning
Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...
Takayuki Akiyama, Hirotaka Hachiya, Masashi Sugiya...
NN
2010
Springer
183views Neural Networks» more  NN 2010»
13 years 4 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
NN
2010
Springer
164views Neural Networks» more  NN 2010»
13 years 11 days ago
Investigating neuronal activity by SPYCODE multi-channel data analyzer
Luca Leonardo Bologna, Valentina Pasquale, Matteo ...
Neural Networks
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