188 search results - page 6 / 38 » Ensemble Selection Using Diversity Networks |
PR
2007
13 years 9 months ago
2007
Ensemble learning is attracting much attention from pattern recognition and machine learning domains for good generalization. Both theoretical and experimental researches show tha...
HAIS
2009
Springer
14 years 2 months ago
2009
Springer
In engineering design the use of approximation models (= surrogate models) has become standard practice for design space exploration, sensitivity analysis, visualization and optimi...
BMCBI
2004
13 years 9 months ago
2004
Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
AI
2002
Springer
13 years 9 months ago
2002
Springer
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
ESWA
2008
13 years 9 months ago
2008
In this study, a multistage neural network ensemble learning model is proposed to evaluate credit risk at the measurement level. The proposed model consists of six stages. In the ...