326 search results - page 15 / 66 » Messy Genetic Algorithms for Subset Feature Selection |
IJCAI
2001
13 years 9 months ago
2001
Neural network ensemble is a learning paradigm where several neural networks are jointly used to solve a problem. In this paper, the relationship between the generalization abilit...
JIFS
2002
13 years 8 months ago
2002
This work addresses the problem of finding the adjustable parameters of a learning algorithm using Genetic Algorithms. This problem is also known as the model selection problem. In...
CEC
2005
IEEE
14 years 2 months ago
2005
IEEE
— A Cascaded model is introduced for mining large datasets using Genetic Programming without recourse to specialist hardware. Such an algorithm satisfies the seeming conflictin...
PAKDD
2000
ACM
13 years 12 months ago
2000
ACM
In clustering, global feature selection algorithms attempt to select a common feature subset that is relevant to all clusters. Consequently, they are not able to identify individu...
GECCO
2006
Springer
14 years 2 days ago
2006
Springer
The conversion and extension of the Incremental ParetoCoevolution Archive algorithm (IPCA) into the domain of Genetic Programming classifier evolution is presented. In order to ac...