Higher-order Gaussian kernel in bootstrap boosting algorithm

C. Ishiekwene, B. A. Afere
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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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自举提升算法中的高阶高斯核
自举增强算法是一种减少偏置的算法。研究了在核密度估计中采用高阶高斯核的自举增强算法。该算法采用高阶高斯核代替常规的固定核。将该方案与现有的固定核方法进行了比较,结果表明该方案具有较好的效果。
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