1521 search results - page 131 / 305 » A learning model for oscillatory networks |
169
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IJCNN
2008
IEEE
16 years 28 days ago
2008
IEEE
— The operation of V1 simple cells in primates has been traditionally modelled with linear models resembling Gabor filters, whereas the functionality of subsequent visual cortic...
192
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ECAL
2001
Springer
15 years 11 months ago
2001
Springer
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
180
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ICANN
2009
Springer
15 years 11 months ago
2009
Springer
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...
207
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JMLR
2012
13 years 9 months ago
2012
To relax the homogeneity assumption of classical dynamic Bayesian networks (DBNs), various recent studies have combined DBNs with multiple changepoint processes. The underlying as...
205
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SDM
2012
SIAM
13 years 9 months ago
2012
SIAM
To reveal information hiding in link space of bibliographical networks, link analysis has been studied from different perspectives in recent years. In this paper, we address a no...