4 search results - page 1 / 1 » Feature Extraction from Optimization Data via DataModeler's ... |
LION
2010
Springer
13 years 9 months ago
2010
Springer
We demonstrate a means of knowledge discovery through feature extraction that exploits the search history of an optimization run. We regress a symbolic model ensemble from optimiza...
SSPR
2004
Springer
13 years 10 months ago
2004
Springer
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
ICIP
2008
IEEE
14 years 6 months ago
2008
IEEE
This paper proposes a data driven image segmentation algorithm, based on decomposing the target output (ground truth). Classical pixel labeling methods utilize machine learning al...
NIPS
2001
13 years 6 months ago
2001
In this paper, it is shown how to extract a hypothesis with small risk from the ensemble of hypotheses generated by an arbitrary on-line learning algorithm run on an independent an...