1521 search results - page 54 / 305 » A learning model for oscillatory networks |
SKG
2006
IEEE
15 years 5 months ago
2006
IEEE
This article explores the utility of neural network ensembles in knowledge discovery and integration. A novel neural network ensemble model KBNNE (Knowledge-Based Neural Network E...
NN
2008
Springer
14 years 11 months ago
2008
Springer
dely acknowledged that categorically organized abstract knowledge plays a significant role in high-order human cognition. Yet, there are many unknown issues about the nature of ho...
ICANN
2007
Springer
15 years 6 months ago
2007
Springer
In this article we present an incremental method for building a mixture model. Given the desired number of clusters K ≥ 2, we start with a two-component mixture and we optimize t...
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NIPS
1998
15 years 1 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
122
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NN
2010
Springer
14 years 10 months ago
2010
Springer
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 ...