Least Square Regression Learning with Data Dependent Hypothesis and Coefficient Regularzation
نویسندگان
چکیده
-We study the least square regression with data dependent hypothesis and coefficient regularization algorithms based on general kernel. An explicit expression of the solution of this kernel scheme is derived. Then we provide a sample error with a decay of 1 ( ) O m and estimate the approximation error in terms of some kind of K -functional. Index Terms -Least Square Regressions, Data Dependent Hypothesis, Coefficient Regularization, General Kernel, Learning Rate.
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ورودعنوان ژورنال:
- JCP
دوره 6 شماره
صفحات -
تاریخ انتشار 2011