Distributed Learning on Very Large Data Sets (2000)

by Lawrence O. Hall , Kevin W. Bowyer , W. Philip Kegelmeyer , Thomas E. Moore , Jr. , Chi-ming Chao
Venue:In Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Citations:11 - 4 self

Active Bibliography

624 A Short Introduction to Boosting – Yoav Freund, Robert E. Schapire - 1999
623 Greedy Function Approximation: A Gradient Boosting Machine – Jerome H. Friedman - 2000
3644 Induction of Decision Trees – J. R. Quinlan - 1986
1057 Fast Effective Rule Induction – William W. Cohen - 1995
329 MetaCost: A General Method for Making Classifiers Cost-Sensitive – Pedro Domingos - 1999
771 Boosting the margin: A new explanation for the effectiveness of voting methods – Robert E. Schapire, Peter Bartlett, Yoav Freund, Wee Sun Lee - 1997
582 An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants – Eric Bauer, Ron Kohavi - 1999
735 Improved Boosting Algorithms Using Confidence-rated Predictions – Robert E. Schapire , Yoram Singer - 1999
562 An Efficient Boosting Algorithm for Combining Preferences – Raj Dharmarajan Iyer , Jr. - 1999