A Feature-Weighted SVR Method Based on Kernel Space Feature
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DOI: 10.3390/a11050062
Abstract: Support Vector Regression (SVR), which converts the original low-dimensional problem to a high-dimensional kernel space linear problem by introducing kernel functions, has been successfully applied in system modeling. Regarding the classical SVR algorithm, the value… read more here.
Keywords: weighted svr; kernel space; feature weighted; feature ... See more keywords