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ICANN
2009
Springer
15 years 3 months ago
2009
Springer
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
NCA
2008
IEEE
15 years 5 months ago
2008
IEEE
In environments like the Internet, faults follow unusual patterns, dictated by the combination of malicious attacks with accidental faults such as long communication delays caused...
ICML
2006
IEEE
15 years 11 months ago
2006
IEEE
A family of probabilistic time series models is developed to analyze the time evolution of topics in large document collections. The approach is to use state space models on the n...
AUTOMATICA
2008
14 years 10 months ago
2008
This paper consists of two parts. The first part is the development of a datadriven Kalman filter for a non-uniformly sampled multirate (NUSM) system, including identification of ...
IJCAI
1997
15 years 1 days ago
1997
Recently researchers working in the LFG framework have proposed algorithms for taking advantage of the implicit context-free components of a unification grammar [Maxwell and Kapla...