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- Sheng Baohuai, Wang Jianli, Li Ping
- J. Complexity
- 2008

- Gao Wenhua, Sheng Baohuai, Zhang Jinhua, Ye Peixin
- 2012 Second International Conference on…
- 2012

We study the learning rate for the least square regression with data dependent hypothesis and coefficient regularization algorithms based on general kernel. We give some estimates for the learning raters of both regression and classification when the hypothesis spaces are sample dependent. Under a very mild condition on the kernels we provide learning error… (More)

- Sheng Baohuai, Ye Peixin, Yu Wangke
- 2013

We investigate machine learning for the least square regression with data dependent hypothesis and coefficient regularization algorithms based on general kernels. We provide some estimates for the learning raters of both regression and classification when the hypothesis spaces are sample dependent. Under a weak condition on the kernels we derive learning… (More)

- Ye Peixin, Sheng Baohuai
- 2011 Fourth International Conference on…
- 2011

We consider 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 and estimate the approximation error in terms of some kind of K-functional.

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