61 search results - page 1 / 13 » Ensemble Methods for Boosting Visualization Models |
IWANN
2009
Springer
13 years 11 months ago
2009
Springer
FLAIRS
2004
13 years 6 months ago
2004
In this work we present a novel approach to ensemble learning for regression models, by combining the ensemble generation technique of random subspace method with the ensemble int...
ICIP
2009
IEEE
14 years 6 months ago
2009
IEEE
It is a common practice to model an object for detection tasks as a boosted ensemble of many models built on features of the object. In this context, features are defined as subre...
ICANN
2007
Springer
13 years 11 months ago
2007
Springer
Topology preserving mappings are great tools for data visualization and inspection in large datasets. This research presents a combination of several topology preserving mapping mo...
ROCAI
2004
Springer
13 years 10 months ago
2004
Springer
We present an empirical comparison of the AUC performance of seven supervised learning methods: SVMs, neural nets, decision trees, k-nearest neighbor, bagged trees, boosted trees,...