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» Ensemble pruning via individual contribution ordering
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KDD
2010
ACM
224views Data Mining» more  KDD 2010»
14 years 2 months ago
Ensemble pruning via individual contribution ordering
An ensemble is a set of learned models that make decisions collectively. Although an ensemble is usually more accurate than a single learner, existing ensemble methods often tend ...
Zhenyu Lu, Xindong Wu, Xingquan Zhu, Josh Bongard
ICTAI
2010
IEEE
13 years 8 months ago
Instance-Based Ensemble Pruning via Multi-Label Classification
Ensemble pruning is concerned with the reduction of the size of an ensemble prior to its combination. Its purpose is to reduce the space and time complexity of the ensemble and/or ...
Fotini Markatopoulou, Grigorios Tsoumakas, Ioannis...
BMCBI
2010
224views more  BMCBI 2010»
13 years 11 months ago
An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
Susmita Datta, Vasyl Pihur, Somnath Datta
SSPR
2004
Springer
14 years 4 months ago
Optimizing Classification Ensembles via a Genetic Algorithm for a Web-Based Educational System
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
Behrouz Minaei-Bidgoli, Gerd Kortemeyer, William F...
EUSFLAT
2009
158views Fuzzy Logic» more  EUSFLAT 2009»
13 years 8 months ago
Bi-criteria Genetic Selection of Bagging Fuzzy Rule-based Multiclassification Systems
Previously we proposed a scheme to generate fuzzy rule-based multiclassification systems by means of bagging, mutual information-based feature selection, and a multicriteria geneti...
Krzysztof Trawinski, Arnaud Quirin, Oscar Cord&oac...