992 search results - page 5 / 199 » Evolutionary Learning Using a Sensitivity-Accuracy Approach ... |
GECCO
2003
Springer
14 years 26 days ago
2003
Springer
Over the last few years, a few approaches have been proposed aiming to combine genetic and evolutionary computation (GECCO) with inductive logic programming (ILP). The underlying r...
SIGMOD
2010
ACM
13 years 7 months ago
2010
ACM
Discriminative subgraphs are widely used to define the feature space for graph classification in large graph databases. Several scalable approaches have been proposed to mine disc...
NCA
2007
IEEE
13 years 7 months ago
2007
IEEE
: Autonomous neural network systems typically require fast learning and good generalization performance, and there is potentially a trade-off between the two. The use of evolutiona...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— The idea of using evolutionary techniques to optimize the performance of neural networks is now widely used, but some approaches have been found to result in the evolution of r...
GECCO
2003
Springer
14 years 26 days ago
2003
Springer
Abstract. Feature extraction based on evolutionary search offers new possibilities for improving classification accuracy and reducing measurement complexity in many data mining and...