Description: Local linear regression methods and their solid form has been seen as an effective non-parametric smoothing method. Contrary to popular kernel regression methods, it has many advantages, such as: higher efficiency and stronger asymptotic adaptation design capacity. In addition, the local linear regression to adjust to the return of the design of almost all cases does not require any boundary amendment.
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- [SVMbooks] - An Introduction to Support Vector Machin
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File list (Check if you may need any files):
lwpr
....\lwpr.m
....\LWPRmanual.pdf
....\LWPRreference.pdf
....\test_lwpr_2D.m
....\test_lwpr_nD.m
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