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IEEE Transactions on Neural Networks
|
February 7, 2008
Extracting finite-state representations from recurrent neural networks trained on chaotic symbolic sequences
P Tino, M Köteles
IEEE Transactions on Neural Networks
|
February 6, 2008
Financial volatility trading using recurrent neural networks
P Tino, C Schittenkopf, G Dorffner
Neural Computation
|
June 2, 2001
Attractive periodic sets in discrete-time recurrent networks (with emphasis on fixed-point stability and bifurcations in two-neuron networks)
P Tino, B G Horne, C L Giles
IEEE Transactions on Neural Networks
|
January 1, 1996
Learning long-term dependencies in NARX recurrent neural networks
T Lin, B G Horne, P Tino, et al.
Nature Genetics
|
January 16, 2019
Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences
Richard Karlsson Linnér, Pietro Biroli, Edward Kong, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 5) with videos related to
Sort By:
Page
of 1
IEEE Transactions on Neural Networks
|
February 7, 2008
Extracting finite-state representations from recurrent neural networks trained on chaotic symbolic sequences
P Tino, M Köteles
IEEE Transactions on Neural Networks
|
February 6, 2008
Financial volatility trading using recurrent neural networks
P Tino, C Schittenkopf, G Dorffner
Neural Computation
|
June 2, 2001
Attractive periodic sets in discrete-time recurrent networks (with emphasis on fixed-point stability and bifurcations in two-neuron networks)
P Tino, B G Horne, C L Giles
IEEE Transactions on Neural Networks
|
January 1, 1996
Learning long-term dependencies in NARX recurrent neural networks
T Lin, B G Horne, P Tino, et al.
Nature Genetics
|
January 16, 2019
Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences
Richard Karlsson Linnér, Pietro Biroli, Edward Kong, et al.
Page
of 1