5 search results - page 1 / 1 » Solving Time of Least Square Systems in Sigma-Pi Unit Networ... |
CORR
2008
Springer
13 years 4 months ago
2008
Springer
The solving of least square systems is a useful operation in neurocomputational modeling of learning, pattern matching, and pattern recognition. In these last two cases, the soluti...
PRL
2011
12 years 11 months ago
2011
Machine Learning based on the Regularized Least Square (RLS) model requires one to solve a system of linear equations. Direct-solution methods exhibit predictable complexity and s...
ICTAI
2008
IEEE
13 years 11 months ago
2008
IEEE
—The dynamics of many systems are described by ordinary differential equations (ODE). Solving ODEs with standard methods (i.e. numerical integration) needs a high amount of compu...
HOTOS
1993
IEEE
13 years 9 months ago
1993
IEEE
I argue against trying to solve the problem of clustering objects into disk pages. Instead, I propose that objects be fetched in groups that may be specific to an application or ...
JMLR
2006
13 years 4 months ago
2006
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....