1704 search results - page 80 / 341 » Learning nonlinear dynamic models |
102
Voted
ESANN
2007
15 years 2 months ago
2007
One of the most difficult problems in using dynamic reservoirs like echo state networks for signal processing is the choice of reservoir network parameters like connectivity or spe...
108
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NN
1997
Springer
15 years 4 months ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
102
Voted
CONSTRAINTS
2008
15 years 26 days ago
2008
When solving systems of nonlinear equations with interval constraint methods, it has often been observed that many calls to contracting operators do not participate actively to th...
98
Voted
NIPS
1993
15 years 2 months ago
1993
Parti-game is a new algorithm for learning feasible trajectories to goal regions in high dimensionalcontinuousstate-spaces. In high dimensions it is essential that learningdoes not...
112
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IDA
2003
Springer
15 years 6 months ago
2003
Springer
Abstract. Many examples exist of multivariate time series where dependencies between variables change over time. If these changing dependencies are not taken into account, any mode...