Learning the Kernel: A Survey and Comparison
نویسندگان
چکیده
The choice of kernel is essential in kernel-based leaning methods. One way to choose a suitable kernel is cross-validation, but there is an alternative solution, that is, learning the kernel from data. In this project, two papers about learning the kernel matrix and kernel function from data are surveyed and compared. The method of learning the kernel matrix is implemented, and empirical results are reported and discussed.
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تاریخ انتشار 2006