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» A Classifier Ensemble Based on Performance Level Estimation
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ISCAS
2007
IEEE
106views Hardware» more  ISCAS 2007»
14 years 1 months ago
Ensemble Dependent Matrix Methodology for Probabilistic-Based Fault-tolerant Nanoscale Circuit Design
—Two probabilistic-based models, namely the Ensemble-Dependent Matrix model [1][3] and the Markov Random Field model [2], have been proposed to deal with faults in nanoscale syst...
Huifei Rao, Jie Chen, Changhong Yu, Woon Tiong Ang...
ICC
2008
IEEE
14 years 2 months ago
Multilink Performance of the Load-Level-Based Admission Control Mechanism for OBS Networks
— In this paper, we analyze the performance of the Load-Level-Based Admission Control mechanism (LLAC) for optical burst-switched networks in a multilink scenario. The goal of th...
Igor M. Moraes, Otto Carlos M. Duarte
MCS
2001
Springer
13 years 12 months ago
Input Decimation Ensembles: Decorrelation through Dimensionality Reduction
Using an ensemble of classifiers instead of a single classifier has been shown to improve generalization performance in many machine learning problems [4, 16]. However, the exten...
Nikunj C. Oza, Kagan Tumer
JMLR
2008
116views more  JMLR 2008»
13 years 7 months ago
Support Vector Machinery for Infinite Ensemble Learning
Ensemble learning algorithms such as boosting can achieve better performance by averaging over the predictions of some base hypotheses. Nevertheless, most existing algorithms are ...
Hsuan-Tien Lin, Ling Li
NPL
2008
100views more  NPL 2008»
13 years 7 months ago
Comparing Combination Rules of Pairwise Neural Networks Classifiers
A decomposition approach to multiclass classification problems consists in decomposing a multiclass problem into a set of binary ones. Decomposition splits the complete multiclass ...
Olivier Lezoray, Hubert Cardot