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Central to the performance improvement of a committee relative to individual networks is the error correlation between networks in the committee.
We investigated methods of achieving error indepen(cid:173) dence between the networks by training the networks with different resampling sets.
We investigated methods of achieving error independence between the networks by training the networks with different resampling sets from the original training ...
Improving Committee Diagnosis with Resampling Techniques ...
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We investigated methods of achieving error independence between the networks by training the networks with different resampling sets from the original training ...
Algorithms for reducing variance in neural network prediction using committee and resampling techniques bootstrap and cross-validation are presented.
Algorithms for reducing variance in neural network prediction using committee and resampling techniques bootstrap and cross-validation are presented and the ...
May 19, 2021 · This study aims to improve the classification of the fall incident severity level by considering data imbalance issues and structured features through machine ...
Mar 7, 2022 · This study aims to introduce the use of resampling methods as data preprocessing to improve the predictive accuracy of high-risk patients for ...
Algorithms for reducing variance in neural network prediction using committee and resampling techniques (bootstrap and cross-validation) are presented.
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Improving committee diagnosis with resampling techniques. B Parmanto, P Munro, H Doyle. Advances in neural information processing systems 8, 1995. 182, 1995.