182 search results - page 16 / 37 » Neural Network Ensembles from Training Set Expansions |
GECCO
2009
Springer
13 years 11 months ago
2009
Springer
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
IEEEICCI
2002
IEEE
14 years 24 days ago
2002
IEEE
We present a model of creating a hierarchical set of rules that encode generalizations and exceptions derived from induction learning. The rules use the input features directly an...
ICANN
2005
Springer
14 years 1 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...
TNN
2008
13 years 7 months ago
2008
In this paper, an optimized approximation algorithm (OAA) is proposed to address the overfitting problem in function approximation using neural networks (NNs). The optimized approx...
ICDM
2007
IEEE
14 years 2 months ago
2007
IEEE
Supervised learning is a classic data mining problem where one wishes to be be able to predict an output value associated with a particular input vector. We present a new twist on...