1064 search results - page 30 / 213 » Neuro-Wavelet Parametric Modeling |
ML
2002
ACM
14 years 9 months ago
2002
ACM
When simple parametric models such as linear regression fail to adequately approximate a relationship across an entire set of data, an alternative may be to consider a partition o...
CODES
2004
IEEE
15 years 1 months ago
2004
IEEE
High-level hardware modeling is an essential, yet time-consuming, part of system design. However, effective component-based reuse in hardware modeling languages can reduce model c...
TIP
2010
14 years 4 months ago
2010
Lidar waveforms are 1D signals representing a train of echoes caused by reflections at different targets. Modeling these echoes with the appropriate parametric function is useful ...
CDC
2010
IEEE
14 years 4 months ago
2010
IEEE
The aim of this paper is to propose a robust and accurate method for the parametric identification of the thermal behaviour of low consumption buildings. These buildings are known ...
GECCO
2008
Springer
14 years 10 months ago
2008
Springer
This article arguments that rank correlation coefficients are powerful association measures and how can they be adopted by EDAs. A new EDA implements the proposed ideas: the Non-P...