Instance Pruning as an Information Preserving Problem

Contribution of Dataset Reduction Techniques to Tree-Simplification and Knowledge Discovery

PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery

Stopping criterion for boosting based data reduction techniques: from binary to multiclass problem

The Journal of Machine Learning Research

Evolutionary stratified training set selection for extracting classification rules with trade off precision-interpretability

Data & Knowledge Engineering

Combining feature and example pruning by uncertainty minimization

UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence