205 search results - page 6 / 41 » Defining locality in genetic programming to predict performa... |
108
click to vote
ISDA
2009
IEEE
15 years 4 months ago
2009
IEEE
Proteins can be grouped into families according to some features such as hydrophobicity, composition or structure, aiming to establish common biological functions. This paper pres...
GECCO
2003
Springer
15 years 2 months ago
2003
Springer
The performance of genetic programming relies mostly on population-contained variation. If the population diversity is low then there will be a greater chance of the algorithm bein...
103
click to vote
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
Recognizing and localizing objects is a classical problem in computer vision that is an important stage for many automated systems. In order to perform object recognition many res...
103
click to vote
ECML
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. This paper introduces the use of multi-objective evolutionary algorithms in multiple instance learning. In order to achieve this purpose, a multi-objective grammar-guided...
CEC
2009
IEEE
15 years 27 days ago
2009
IEEE
—When performing predictive data mining, the use of ensembles is known to increase prediction accuracy, compared to single models. To obtain this higher accuracy, ensembles shoul...