547 search results - page 107 / 110 » A hybrid approach to parameter tuning in genetic algorithms |
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Abstract--Randomization is a general technique for evaluating the significance of data analysis results. In randomizationbased significance testing, a result is considered to be in...
AUSAI
2008
Springer
13 years 9 months ago
2008
Springer
In recent years, there has been a cross-fertilization of ideas between computational neuroscience models of the operation of the neocortex and artificial intelligence models of mac...
EVOW
2009
Springer
14 years 2 months ago
2009
Springer
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
IJDAR
2007
13 years 7 months ago
2007
In this paper, based on the study of the specificity of historical printed books, we first explain the main error sources in classical methods used for page layout analysis. We sho...
ESANN
2008
13 years 9 months ago
2008
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 ...