1064 search results - page 16 / 213 » Neuro-Wavelet Parametric Modeling |
CP
2006
Springer
14 years 1 months ago
2006
Springer
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
ENTCS
2007
13 years 9 months ago
2007
The event B method provides a general framework for modelling both data structures and algorithms. B models are validated by discharging proof obligations ensuring safety properti...
CORR
2007
Springer
13 years 9 months ago
2007
Springer
This paper considers a developing theory on the effects of inevitable process variations during the fabrication of MEMS and other microsystems. The effects on the performance and ...
ICASSP
2011
IEEE
13 years 1 months ago
2011
IEEE
The construction of low-dimensional models explaining highdimensional signal observations provides concise and efficient data representations. In this paper, we focus on pattern ...
AMC
2004
13 years 9 months ago
2004
We consider a parametrically-driven nonlinear ODE, which encompasses a simple model of an electronic circuit known as a parametric amplifier, whose linearisation has a zero eigenv...