1521 search results - page 99 / 305 » A learning model for oscillatory networks |
155
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IJCNN
2006
IEEE
16 years 14 days ago
2006
IEEE
— Recursive Neural Networks (RNNs) and Graph Neural Networks (GNNs) are two connectionist models that can directly process graphs. RNNs and GNNs exploit a similar processing fram...
171
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RIAO
2000
15 years 7 months ago
2000
We consider the application of machine learning techniques for sequence modeling to Information Retrieval (IR) and surface Information Extraction (IE) tasks. We introduce a generi...
189
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ICASSP
2010
IEEE
15 years 6 months ago
2010
IEEE
Sparse coding networks, which utilize unsupervised learning to maximize coding efficiency, have successfully reproduced response properties found in primary visual cortex [1]. Ho...
162
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GECCO
2005
Springer
15 years 12 months ago
2005
Springer
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
161
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ICANN
2009
Springer
15 years 11 months ago
2009
Springer
Abstract. Recent cognitive modeling studies suggest the effectiveness of metaheuristic optimization in describing human cognitive behaviors. Such models are built on the basis of p...