Abstract
The bootstrap boosting algorithm is a bias reduction scheme. The adoption of higher-order Gaussian kernel in a bootstrap boosting algorithm in kernel density estimation was investigated. The algorithm used the higher-order Gaussian kernel instead of the regular fixed kernels. A comparison of the scheme with existing fixed kernel methods indicated the results were better.
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