- Philip M. Long
- Rocco A. Servedio
NIPS (2007)
We show that any weak ranker that can achieve an area under the ROC curve slightly better than 1/2 (which can be achieved by random guessing) can be efficiently boosted to achieve an area under the ROC curve arbitrarily close to 1. We further show that this boosting can be performed even in the presence of independent misclassification noise, given access to a noise-tolerant weak ranker.
We maintain a portfolio of research projects, providing individuals and teams the freedom to emphasize specific types of work