Sciweavers

554 search results - page 41 / 111
» Variable selection using neural-network models
Sort
View
ISCAS
2005
IEEE
117views Hardware» more  ISCAS 2005»
15 years 3 months ago
A VLSI model of the bat dorsal nucleus of the lateral lemniscus for azimuthal echolocation
— The dorsal nucleus of the lateral lemniscus (DNLL) is a distinct group of auditory cells that play a strategic role in azimuthal echolocation in the bat. Dominated by EI-type c...
Rock Z. Shi, Timothy K. Horiuchi
VAMOS
2007
Springer
15 years 3 months ago
Using Goal-Models to Analyze Variability
On our ongoing research on variability analysis, two major drawbacks have been identified: a) the lack of an effective tracing from the rationale to the selected variant, and b) t...
Bruno González-Baixauli, Miguel A. Laguna, ...
CAISE
2010
Springer
14 years 4 months ago
Configuring the Variability of Business Process Models Using Non-Functional Requirements
The existence of variations in the organizational environment makes the configuration of business process models a complex activity, even for experienced business analysts. The inc...
Emanuel Santos, João Pimentel, Jaelson Cast...
ESANN
2008
14 years 11 months ago
A method for robust variable selection with significance assessment
Our goal is proposing an unbiased framework for gene expression analysis based on variable selection combined with a significance assessment step. We start by discussing the need ...
Annalisa Barla, Sofia Mosci, Lorenzo Rosasco, Ales...
ANNPR
2008
Springer
14 years 10 months ago
Multi-class Vehicle Type Recognition System
This paper presents a framework for multiclass vehicle type (Make and Model) identification based on oriented contour points. A method to construct a model from several frontal ve...
Xavier Clady, Pablo Negri, Maurice Milgram, Raphae...