Support Vector Machines are Universally Consistent
نویسنده
چکیده
We show that support vector machines of the 1-norm soft margin type are universally consistent provided that the regularization parameter is chosen in a distinct manner and the kernel belongs to a specific class}the so-called universal kernels}which has recently been considered by the author. In particular it is shown that the 1-norm soft margin classifier with Gaussian RBF kernel on a compact subset X of R and regularization parameter cn 1⁄4 nb 1 is universally consistent, if n is the training set size and 05b51=d: # 2002 Elsevier Science (USA)
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ورودعنوان ژورنال:
- J. Complexity
دوره 18 شماره
صفحات -
تاریخ انتشار 2002