A cooperative constructive method for neural networks for pattern recognition

DOI10.1016/j.patcog.2006.06.024zbMath1103.68757OpenAlexW2073849130MaRDI QIDQ853100

Domingo Ortiz-Boyer, Nicolás García-Pedrajas

Publication date: 15 November 2006

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2006.06.024

zbMATH Keywords

neural networkspattern classificationevolutionary computationconstructive algorithmscooperative coevolution

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (5)

PMSVM: an optimized support vector machine classification algorithm based on PCA and multilevel grid search methods ⋮ Preference disaggregation and statistical learning for multicriteria decision support: A review ⋮ A cooperative coevolutionary algorithm for instance selection for instance-based learning ⋮ A memetic algorithm for evolutionary prototype selection: A scaling up approach ⋮ IFS-CoCo: instance and feature selection based on cooperative coevolution with nearest neighbor rule

Uses Software

• UCI-ml
• C4.5

Cites Work

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• Bagging predictors
• Is combining classifiers with stacking better than selecting the best one?
• Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy
• Combining classifiers with meta decision trees
• Randomizing outputs to increase prediction accuracy
• Arcing classifiers. (With discussion)
• Principal component analysis.
• Stacked regressions
• Dynamic classifier selection based on multiple classifier behaviour
• On the learnability and design of output codes for multiclass problems

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