Different learning functions for weighted kernel regression in solving small sample problem with noise
Previously, weighted kernel regression (WKR) for solving small samples problem has been reported. In the original WKR, the simple iterative learning technique and the formulated learning function in estimating weight parameters are designed only to solve non-noisy and small training samples problem....
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2015
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| Subjects: |