5 search results - page 1 / 1 » Ensemble Techniques for Avoiding Poor Performance in Evolved... |
IJCNN
2006
IEEE
13 years 11 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
2007
Springer
13 years 11 months ago
2007
Springer
Speciation is an important concept in evolutionary computation. It refers to an enhancements of evolutionary algorithms to generate a set of diverse solutions. The concept is stud...
NCA
2007
IEEE
13 years 4 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...
CIDM
2009
IEEE
13 years 11 months ago
2009
IEEE
—Some data mining problems require predictive models to be not only accurate but also comprehensible. Comprehensibility enables human inspection and understanding of the model, m...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...