التفاصيل البيبلوغرافية
| العنوان: |
On the Reduction of Global Error of Multivariate Higher-Order Product Polynomial Kernels. |
| المؤلفون: |
Afere, Benson Ade, Alih, Ekele |
| المصدر: |
Palestine Journal of Mathematics; 2019, Vol. 8 Issue 2, p286-294, 9p |
| مصطلحات موضوعية: |
POLYNOMIALS, GAUSSIAN distribution, ERROR, MANUFACTURED products |
| مستخلص: |
A higher-order kernel has the features of both negative and positive kernels. The advantage of this over the lower-order kernel is that it leads to faster rate of convergence. Thus, in this paper, we presented the reduction of global error of multivariate higher-order product polynomial kernels. The family of product polynomial multivariate higher-order kernels is constructed. A generalized scheme for determining the global error of any kernel in this family is proposed. A Monte Carlo experiment is performed using six different data sets and it was observed that our scheme is efficient even if the data set departs from the standard normal distribution; and thus have higher rate of convergence [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
