139 search results - page 22 / 28 » Numerical differentiation by radial basis functions approxim... |
107
Voted
SIAMJO
2011
14 years 6 months ago
2011
Abstract. The condition number of a Gram matrix defined by a polynomial basis and a set of points is often used to measure the sensitivity of the least squares polynomial approxim...
ROBIO
2006
IEEE
15 years 5 months ago
2006
IEEE
— Humanoid robots are highly redundant systems with respect to the tasks they are asked to perform. This redundancy manifests itself in the number of degrees of freedom of the ro...
114
Voted
ICA
2010
Springer
15 years 21 days ago
2010
Springer
We study a sparse coding learning algorithm that allows for a simultaneous learning of the data sparseness and the basis functions. The algorithm is derived based on a generative m...
107
Voted
IJON
2007
14 years 11 months ago
2007
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
80
Voted
IJCNN
2000
IEEE
15 years 4 months ago
2000
IEEE
The class of piecewise linear homeomorphisms (PLH) provides a convenient functional representation for many applications wherein an approximation to data is required that is inver...