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FLAIRS
2004
13 years 9 months ago
Random Subspacing for Regression Ensembles
In this work we present a novel approach to ensemble learning for regression models, by combining the ensemble generation technique of random subspace method with the ensemble int...
Niall Rooney, David W. Patterson, Sarab S. Anand, ...
SMC
2007
IEEE
156views Control Systems» more  SMC 2007»
14 years 2 months ago
Dynamic fusion of classifiers for fault diagnosis
—This paper considers the problem of temporally fusing classifier outputs to improve the overall diagnostic classification accuracy in safety-critical systems. Here, we discuss d...
Satnam Singh, Kihoon Choi, Anuradha Kodali, Krishn...
ICML
2006
IEEE
14 years 8 months ago
Pruning in ordered bagging ensembles
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 generate...
Alberto Suárez, Gonzalo Martínez-Mu&...
MCS
2002
Springer
13 years 7 months ago
Stacking with Multi-response Model Trees
We empirically evaluate several state-of-the-art methods for constructing ensembles of classifiers with stacking and show that they perform (at best) comparably to selecting the be...
Saso Dzeroski, Bernard Zenko
MCS
2004
Springer
14 years 1 months ago
Dynamic Classifier Selection by Adaptive k-Nearest-Neighbourhood Rule
Despite the good results provided by Dynamic Classifier Selection (DCS) mechanisms based on local accuracy in a large number of applications, the performances are still capable of ...
Luca Didaci, Giorgio Giacinto