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Selecting the Kernel function

In this section, two different kernels will be tested on the speech classification task. These are the Radial Basis Function with radius tex2html_wrap_inline2200 , and polynomial function of degree d. The choice of tex2html_wrap_inline2200 and d will also be discussed. The SVM formulation does not include criteria to select a kernel function that gives good generalisation (or results in a classifier with low expected error bound). [Smith, 1998] has done extensive work in this area. A generative model is used to derive a kernel based on the information from the given training data. The kernel given by this model gives comparable results compared to the conventional kernel function used in SVMs.





K.K. Chin
Thu Sep 10 11:05:30 BST 1998