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176
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TNN
1998
15 years 6 months ago
1998
—Recurrent neural networks processing symbolic strings can be regarded as adaptive neural parsers. Given a set of positive and negative examples, picked up from a given language,...
188
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NN
1998
Springer
15 years 6 months ago
1998
Springer
Learning long-term temporal dependencies with recurrent neural networks can be a difficult problem. It has recently been shown that a class of recurrent neural networks called NA...
187
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IJCNN
2006
IEEE
16 years 1 months ago
2006
IEEE
— The semantics of neural networks can be analyzed mathematically as a distributed system of knowledge and as systems of possible worlds expressed in the knowledge. Learning in a...
213
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NCA
1998
IEEE
15 years 6 months ago
1998
IEEE
This paper models information flow in a communication network. The network consists of nodes that communicate with each other, and information servers that have a predominantly o...
153
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GECCO
2006
Springer
15 years 10 months ago
2006
Springer
This paper presents an approach to the joint optimization of neural network structure and weights which can take advantage of backpropagation as a specialized decoder. The approac...