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- W2087331387 abstract "A new active learning based on a new localized generalization error model is proposed in the paper for training RBFNN. The samples with largest local generalization error are selected and labelled. The experimental results show that the proposed algorithm is effective, which can select the most informative samples and fewer samples are necessary." @default.
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- W2087331387 date "2010-05-01" @default.
- W2087331387 modified "2023-10-18" @default.
- W2087331387 title "Active Learning Based on New Localized Generalization Error Model for Training RBFNN" @default.
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- W2087331387 doi "https://doi.org/10.4028/www.scientific.net/amr.108-111.1381" @default.
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