Evaluation of Kernel Functions for Online Multiclass Classification
نویسنده
چکیده
As it is not clear how to choose an appropriate kernel function for a specific learning problem, this paper examines the performance of three kernel functions with varied parameters for online handwritten character recognition. The three kernel functions evaluated are the polynomial, complete polynomial, and radial basis functions. Results show that the three functions perform comparably with the appropriate parameters.
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تاریخ انتشار 2006