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Making Diversity Enhancement Based on Multiple Classifier System by Weight Tuning
Year: 2012
Abstract:
This article presents a new method to construct multiple classifier system by
making diverse base classifiers using weight tuning. In the method presented, base classifiers
are multilayer perceptions which ...
Designing Kernel Scheme for Classifiers Fusion
Year: 2009
Abstract:
In this paper, we propose a special fusion
method for combining ensembles of base classifiers
utilizing new neural networks in order to improve
overall efficiency of classification. While ensembles ...
Design of minimally-invasive all-pole analog lowpass filters
Publisher: IEEE
Year: 2014
Shaped prisoner's dilemma automata
Publisher: IEEE
Year: 2014
Minimum cost localization problem in three-dimensional ocean sensor networks
Publisher: IEEE
Year: 2014
Clustering-Based Ensembles as an Alternative to Stacking
Publisher: IEEE
Year: 2014
Local Overload Compensation through LTE System Level Interference Control in Realistic Scenarios
Publisher: IEEE
Year: 2014