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» Boosted Optimization for Network Classification
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GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
15 years 1 months ago
Classification of EEG signals using relative wavelet energy and artificial neural networks
Ling Guo, Daniel Rivero, Jose A. Seoane, Alejandro...
PR
2008
85views more  PR 2008»
14 years 9 months ago
Quadratic boosting
This paper presents a strategy to improve the AdaBoost algorithm with a quadratic combination of base classifiers. We observe that learning this combination is necessary to get be...
Thang V. Pham, Arnold W. M. Smeulders
ICML
2006
IEEE
15 years 10 months ago
Multiclass boosting with repartitioning
A multiclass classification problem can be reduced to a collection of binary problems with the aid of a coding matrix. The quality of the final solution, which is an ensemble of b...
Ling Li
78
Voted
WWW
2005
ACM
15 years 10 months ago
Boosting SVM classifiers by ensemble
By far, the support vector machines (SVM) achieve the state-of-theart performance for the text classification (TC) tasks. Due to the complexity of the TC problems, it becomes a ch...
Yan-Shi Dong, Ke-Song Han
ESANN
2006
14 years 11 months ago
Rotation-based ensembles of RBF networks
Abstract. Ensemble methods allow to improve the accuracy of classification methods. This work considers the application of one of these methods, named Rotation-based, when the clas...
Juan José Rodríguez, Jesús Ma...