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MCS
2007
Springer
13 years 9 months ago
Exploiting Diversity in Ensembles: Improving the Performance on Unbalanced Datasets
Abstract. Ensembles are often capable of greater predictive performance than any of their individual classifiers. Despite the need for classifiers to make different kinds of err...
Nitesh V. Chawla, Jared Sylvester
MCS
2007
Springer
14 years 3 months ago
Stopping Criteria for Ensemble-Based Feature Selection
Selecting the optimal number of features in a classifier ensemble normally requires a validation set or cross-validation techniques. In this paper, feature ranking is combined with...
Terry Windeatt, Matthew Prior
MCS
2007
Springer
13 years 9 months ago
Elasto-plasticity model in structural optimization of composite materials with periodic microstructures
The paper deals with a structural optimization of composite materials with periodic microstructures invoking an elasto-plasticity model with the von Mises yield criterion. Closest...
Ronald H. W. Hoppe, Svetozara Petrova
MCS
2007
Springer
14 years 3 months ago
Hierarchical Behavior Knowledge Space
In this paper we present a new method for fusing classifiers output for problems with a number of classes M > 2. We extend the well-known Behavior Knowledge Space method with a...
Hubert Cecotti, Abdel Belaïd
MCS
2007
Springer
13 years 9 months ago
Nonlinearity from linearity: The Ermakov-Pinney equation revisited
In this short note, we revisit the so-called Ermakov–Pinney (EP) equation viewing its properties from a physically motivated perspective. We discuss its ties with the Schr¨odin...
Panayotis G. Kevrekidis, Yannis Drossinos