Combining Classifiers Using Correspondence Analysis (1998)

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by Christopher Merz
Citations:5 - 0 self

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52 Using Correspondence Analysis to Combine Classifiers – Christopher J. Merz, Sal Stolfo - 1998
192 Popular ensemble methods: an empirical study – David Opitz, Richard Maclin - 1999
615 On the optimality of the simple Bayesian classifier under zero-one loss – Pedro Domingos, Michael Pazzani - 1997
550 An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants – Eric Bauer, Ron Kohavi - 1999
733 Boosting the margin: A new explanation for the effectiveness of voting methods – Robert E. Schapire, Peter Bartlett, Yoav Freund, Wee Sun Lee - 1997
538 An Efficient Boosting Algorithm for Combining Preferences – Raj Dharmarajan Iyer , Jr. - 1999
545 Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms – Thomas G. Dietterich - 1998
30 A Principal Components Approach to Combining Regression Estimates – Christopher J. Merz, MICHAEL J. PAZZANI, Sal Stolfo - 1998
14 Cost Complexity-based Pruning of Ensemble Classifiers – Andreas L. Prodromidis, Salvatore J. Stolfo - 1999