Ensemble Learning Bibliography

A (growing) online bibliography of ensemble learning, aka Multiple Classifier Systems. Subjects vary from boosting, bagging, mixtures of experts, and pure statistics, to overlaps with evolutionary computation, financial forecasting and physics. New to the field? Click here for some tutorials on this topic. Search: or the entire bibliography (646 references as of July 2007) This bibliography also contains entries for every paper published in the Multiple Classifier Systems workshop series 2000-2007. If you want your papers included, please mail your Bibtex files to Gavin Brown This bibliography is also held online at the Collection of Computer Science Bibliographies.