| ชื่อเรื่อง | : | On optimal degree selection for polynomial kernel with support vector machines : theoretical and empirical investigations |
| นักวิจัย | : | Ali, Shawkat. , Smith-Miles, Kate. |
| คำค้น | : | Not a CQU Research Flagship , 700199 Computer software and services not elsewhere classified , 280201 Expert Systems , Vector analysis. , Algorithms. , Polynomials. , Kernel functions. , Support Vector Machines -- Polynomial kernel -- Rule based method |
| หน่วยงาน | : | Central Queensland University, Australia |
| ผู้ร่วมงาน | : | - |
| ปีพิมพ์ | : | 2550 |
| อ้างอิง | : | http://hdl.cqu.edu.au/10018/12839 , http://acquire.cqu.edu.au:8080/vital/access/manager/Repository/cqu:2830 , cqu:2830 |
| ที่มา | : | Ali, S & Smith-Miles, K 2007, 'On optimal degree selection for polynomial kernal with support vector machines: theoretical and empirical investigations', International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 11, no. 1, pp. 1-18. |
| ความเชี่ยวชาญ | : | - |
| ความสัมพันธ์ | : | International Journal of Knowledge-Based and Intelligent Engineering Systems Netherlands : IOS Press, 2007. Vol 11, no. 1 (January 2007), p. 1-18 18 pages Refereed 1327-2314 , aCQUIRe [electronic resource] : Central Queensland University Institutional Repository. |
| ขอบเขตของเนื้อหา | : | - |
| บทคัดย่อ/คำอธิบาย | : | The key challenge in kernel based learning algorithms is the choice of an appropriate kernel and its optimal parameters. Selecting the optimal degree of a polynomial kernel is critical to ensure good generalisation of the resulting support vector machine model. In this paper we propose Bayesian and Laplace approximation methods to estimate the polynomial degree. A rule based meta-learning approach is then proposed for automatic polynomial kernel and its optimal degree selection. The new approach is constructed and tested on different sizes of 112 datasets with binary class as well as multi class classification problems. An extensive computational evaluation of these methods is conducted, and rules are generated to determine when these approximation methods are appropriate. |
| บรรณานุกรม | : |
Ali, Shawkat. , Smith-Miles, Kate. . (2550). On optimal degree selection for polynomial kernel with support vector machines : theoretical and empirical investigations.
กรุงเทพมหานคร : Central Queensland University, Australia. Ali, Shawkat. , Smith-Miles, Kate. . 2550. "On optimal degree selection for polynomial kernel with support vector machines : theoretical and empirical investigations".
กรุงเทพมหานคร : Central Queensland University, Australia. Ali, Shawkat. , Smith-Miles, Kate. . "On optimal degree selection for polynomial kernel with support vector machines : theoretical and empirical investigations."
กรุงเทพมหานคร : Central Queensland University, Australia, 2550. Print. Ali, Shawkat. , Smith-Miles, Kate. . On optimal degree selection for polynomial kernel with support vector machines : theoretical and empirical investigations. กรุงเทพมหานคร : Central Queensland University, Australia; 2550.
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