https://scholars.lib.ntu.edu.tw/handle/123456789/115493
標題: | a study on sigmoid kernels for svm and the training of non-psd | 作者: | Lin, Hsuan-Tien Lin, Chih-Jen |
關鍵字: | Sigmoid Kernel;non-Positive Semi-Definite Kernel;Sequential Minimal Optimization;Support Vector Machine | 公開日期: | 6-三月-2005 | 出版社: | 臺北市:國立臺灣大學資訊工程學系 | 摘要: | In this paper, we discuss such non-PSD kernels through the viewpoint of separability. Results help to validate the possible use of non-PSD kernels. One example shows that the sigmoid kernel matrix is conditionally positive definite (CPD) in certain parameters & thus are valid kernels there... |
URI: | http://ntur.lib.ntu.edu.tw//handle/246246/20060927122853789664 | 其他識別: | 20060927122853789664 |
顯示於: | 資訊工程學系 |
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