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BIB
2007
139views more  BIB 2007»
15 years 6 months ago
Petri net modelling of biological networks
Mathematical modelling is increasingly used to get insights into the functioning of complex biological networks. In this context, Petri nets (PNs) have recently emerged as a promi...
Claudine Chaouiya
CSDA
2010
139views more  CSDA 2010»
15 years 6 months ago
Detecting influential observations in Kernel PCA
Kernel Principal Component Analysis extends linear PCA from a Euclidean space to any reproducing kernel Hilbert space. Robustness issues for Kernel PCA are studied. The sensitivit...
Michiel Debruyne, Mia Hubert, Johan Van Horebeek
AUTOMATICA
2006
109views more  AUTOMATICA 2006»
15 years 6 months ago
Closed-loop subspace identification using the parity space
It is known that many subspace algorithms give biased estimates for closed-loop data due to the existence of feedback. In this paper we present a new subspace identification metho...
Jin Wang, S. Joe Qin
BC
2006
83views more  BC 2006»
15 years 6 months ago
An Algorithmic Method for Reducing Conductance-based Neuron Models
Although conductance-based neural models provide a realistic depiction of neuronal activity, their complexity often limits effective implementation and analysis. Neuronal model red...
Michael E. Sorensen, Stephen P. DeWeerth
IEICET
2008
95views more  IEICET 2008»
15 years 6 months ago
Approximating the Best Linear Unbiased Estimator of Non-Gaussian Signals with Gaussian Noise
Obtaining the best linear unbiased estimator (BLUE) of noisy signals is a traditional but powerful approach to noise reduction. Explicitly computing the BLUE usually requires the ...
Masashi Sugiyama, Motoaki Kawanabe, Gilles Blancha...