1521 search results - page 84 / 305 » A learning model for oscillatory networks |
173
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NIPS
1998
15 years 7 months ago
1998
We propose a novel strategy for training neural networks using sequential Monte Carlo algorithms. This global optimisation strategy allows us to learn the probability distribution...
173
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CORR
2010
Springer
15 years 1 months ago
2010
Springer
Abstract: Transactional network data can be thought of as a list of oneto-many communications (e.g., email) between nodes in a social network. Most social network models convert th...
296
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NEUROSCIENCE
2001
Springer
15 years 11 months ago
2001
Springer
Abstract. Finite-state machines are the most pervasive models of computation, not only in theoretical computer science, but also in all of its applications to real-life problems, a...
160
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IJCNN
2006
IEEE
16 years 14 days ago
2006
IEEE
- A dynamical neural model that is strongly biologically motivated is applied to learning and retrieving binary patterns. This neural network, known as Freeman’s Ksets, is traine...
146
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ICONIP
2007
15 years 7 months ago
2007
– The behavior of recurrent neural networks with a recurrent output layer (ROL) is described mathematically and it is shown that using ROL is not only advantageous, but is in fac...