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IDA
2007
Springer
15 years 8 months ago
Two Bagging Algorithms with Coupled Learners to Encourage Diversity
In this paper, we present two ensemble learning algorithms which make use of boostrapping and out-of-bag estimation in an attempt to inherit the robustness of bagging to overfitti...
Carlos Valle, Ricardo Ñanculef, Héct...
PGLDB
2003
151views Database» more  PGLDB 2003»
15 years 3 months ago
Web-service-based, Dynamic and Collaborative E-learning
This paper describes an on-going effort to investigate problems and approaches for achieving Web-service-based, dynamic and collaborative e-learning. In this work, a Learning Cont...
Stanley Y. W. Su, Gilliean Lee
96
Voted
FLAIRS
2001
15 years 3 months ago
Hybrid Decision Tree Learners with Alternative Leaf Classifiers: An Empirical Study
Therehasbeensurprisinglylittle researchso far that systematicallyinvestigatedthe possibilityof constructinghybrid learningalgorithmsbysimplelocal modificationsto decision tree lea...
Alexander K. Seewald, Johann Petrak, Gerhard Widme...
ICMLA
2004
15 years 3 months ago
Reducing complexity of rule based models via meta mining
Complexity, or in other words compactness, of models generated by rule learners is one of often neglected issues, although it has a profound effect on the success of any project t...
Lukasz A. Kurgan
121
Voted
JMLR
2008
92views more  JMLR 2008»
15 years 2 months ago
Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective
This paper presents the dynamics of multiple learning agents from an evolutionary game theoretic perspective. We provide replicator dynamics models for cooperative coevolutionary ...
Liviu Panait, Karl Tuyls, Sean Luke