Foster__Provost
A survey of methods for scaling up inductive algorithms
Analysis and visualization of classifier performance: Comparison under imprecise class and cost distributions
Efficient progressive sampling
On applied research in machine learning
Robust classification systems for imprecise environments
The Case Against Accuracy Estimation for Comparing Induction Algorithms
Tree induction for probability-based ranking