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NIPS
2008
13 years 11 months ago
Estimating vector fields using sparse basis field expansions
We introduce a novel framework for estimating vector fields using sparse basis field expansions (S-FLEX). The notion of basis fields, which are an extension of scalar basis functi...
Stefan Haufe, Vadim V. Nikulin, Andreas Ziehe, Kla...
AMC
2005
123views more  AMC 2005»
13 years 10 months ago
Iterative methods for Robbins problems
Preconditioned iterative methods are described for the solution of an elliptic partial differential equation over an unit square region with Robbins boundary conditions. Transform...
Andy C. Ho, Michael K. Ng
TNN
2010
171views Management» more  TNN 2010»
13 years 4 months ago
Sensitivity versus accuracy in multiclass problems using memetic Pareto evolutionary neural networks
This paper proposes a multiclassification algorithm using multilayer perceptron neural network models. It tries to boost two conflicting main objectives of multiclassifiers: a high...
Juan Carlos Fernández Caballero, Francisco ...
ACMSE
2006
ACM
14 years 4 months ago
Reconstructing networks using co-temporal functions
Reconstructing networks from time series data is a difficult inverse problem. We apply two methods to this problem using co-temporal functions. Co-temporal functions capture mathe...
Edward E. Allen, Anthony Pecorella, Jacquelyn S. F...
CDC
2010
IEEE
137views Control Systems» more  CDC 2010»
13 years 5 months ago
Analysis of optimal control models for the human locomotion
In recent papers it has been suggested that human locomotion may be modeled as an inverse optimal control problem. In this paradigm, the trajectories are assumed to be solutions of...
Yacine Chitour, Francesca C. Chittaro, Fréd...