1282 search results - page 17 / 257 » Feature selection with neural networks |
ICANN
2005
Springer
14 years 3 months ago
2005
Springer
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
IJON
2006
13 years 9 months ago
2006
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
GLVLSI
2005
IEEE
14 years 3 months ago
2005
IEEE
We develop a neural network that learns to separate the nominal from the faulty instances of a circuit in a measurement space. We demonstrate that the required separation boundari...
ICANN
2007
Springer
14 years 1 months ago
2007
Springer
Meta-Learning has been used to select algorithms based on the features of the problems being tackled. Each training example in this context, i.e. each meta-example, stores the feat...
IJCNN
2000
IEEE
14 years 2 months ago
2000
IEEE
In the field of pattern recognition, the combination of an ensemble of neural networks has been proposed as an approach to the development of high performance image classification...