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Abstract: We present a novel ensemble pruning method based on reordering the classifiers obtained from bagging and then selecting a subset for aggregation. Ordering the classifiers generated in bagging makes it possible to build subensembles of increasing size by including first those classifiers that are expected to perform best when aggregated. Ensemble pruning is achieved by halting the aggregation process before all the classifiers generated are included into the ensemble. Pruned... (Update)
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1.8: Pruning in Ordered Bagging Ensembles - Suarez (2005) (Correct)
1.3: Using Boosting to Prune Bagging Ensembles - Suarez (Correct)
0.3: Aggregation Ordering in Bagging - Martínez-Muñoz, Suárez (2004) (Correct)
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6.0: Unknown - (Correct)
BibTeX entry: (Update)
@misc{ martinez-munoz-pruning,
author = "Gonzalo Martinez-Munoz and Alberto Suarez",
title = "Pruning in Ordered Bagging Ensembles",
url = "citeseer.ist.psu.edu/martinez-munoz06pruning.html" }
Citations (may not include all citations):1262 Classification and regression trees (context) - Breiman, Friedman et al. - 1984
696 UCI repository of machine learning databases (context) - Blake, Merz - 1998
657 Bagging predictors - Breiman - 1996 ACM DBLP
509 A decisiontheoretic generalization of on-line learning and a.. - Freund, Schapire - 1995
134 An experimental comparison of three methods for constructing.. - Dietterich - 2000
89 and arcing classifiers (context) - Breiman - 1996
78 Boosting the margin: A new explanation for the e#ectiveness .. (context) - Schapire, Freund et al. - 1998
62 Pruning adaptive boosting - Margineantu, Dietterich - 1997
30 Knowledge acquisition from examples via multiple models - Domingos - 1997
24 Multiboosting: A technique for combining boosting and waggin.. - Webb - 2000
15 Inference for the generalization error - Nadeau, Bengio - 2003
14 Ensembling neural networks: Many could be better than all - Zhou, Wu et al. - 2002
11 Random forests - Breiman - 2001 ACM DBLP
9 the boosting pruning problem - Tamon, Xiang - 2000
9 Cost complexity-based pruning of ensemble classifiers - Prodromidis, Stolfo - 2001
8 Arcing the edge - Breiman - 1997
6 An approach to the automatic design of multiple classifier s.. - Giacinto, Roli - 2001
4 Clustering ensembles of neural network models (context) - Bakker, Heskes - 2003 ACM
3 Aggregation ordering in bagging (context) - Martnez-Munoz, Suarez - 2004
3 Selective ensemble of decision trees - Zhou, Tang - 2003 DBLP
2 A monte carlo analysis of ensemble classification (context) - Esposito, Saitta - 2004 ACM
1 Switching class labels to generate classification ensembles (context) - Martnez-Munoz, Suarez - 2005
Documents on the same site (http://www.eps.uam.es/~gonzalo/publications/index.html): More
Using Boosting to Prune Bagging Ensembles - Suarez (Correct)
Aggregation Ordering in Bagging - Martínez-Muñoz, Suárez (2004) (Correct)
Pruning in Ordered Bagging Ensembles - Suarez (2005) (Correct)
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