1064 search results - page 30 / 213 » Neuro-Wavelet Parametric Modeling |
62
Voted
ML
2002
ACM
15 years 3 days 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...
108
Voted
CODES
2004
IEEE
15 years 4 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...
101
Voted
TIP
2010
14 years 7 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 ...
103
click to vote
CDC
2010
IEEE
14 years 7 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 ...
80
Voted
GECCO
2008
Springer
15 years 1 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...