| ชื่อเรื่อง | : | Kernel width selection for SVM classification : a meta-learning approach |
| นักวิจัย | : | Ali, Shawkat. , Smith, Kate A., 1970- |
| คำค้น | : | Data mining. , Applied research. , 890202 Application Tools and System Utilities. , 080109 Pattern Recognition and Data Mining. , Support vector machines. , Pattern perception. , Kernel functions. , Automatic RBF width selection -- Maximum likelihood -- Nelder-Mead -- Support |
| หน่วยงาน | : | Central Queensland University, Australia |
| ผู้ร่วมงาน | : | - |
| ปีพิมพ์ | : | 2548 |
| อ้างอิง | : | http://hdl.cqu.edu.au/10018/42282 , cqu:5427 |
| ที่มา | : | Ali, S 2005, 'Kernel width selection for SVM classification: a meta-learning approach', International Journal of Data Warehousing and Mining, vol. 1, no. 4, pp. 78-97. |
| ความเชี่ยวชาญ | : | - |
| ความสัมพันธ์ | : | International journal of data warehousing and mining. USA. : Idea Group Inc, 2005. Vol. 1, no. 4 (2005), p. 78-97 20 pages Refereed 1548-3924 , ACQUIRE [electronic resource] : Central Queensland University Institutional Repository. |
| ขอบเขตของเนื้อหา | : | - |
| บทคัดย่อ/คำอธิบาย | : | The most critical component of kernel-based learning algorithms is the choice of an appropriate kernel and its optimal parameters. In this paper, we propose a rule-based meta-learning approach for automatic radial basis function (RBF) kernel and its parameter selection for Support Vector Machine (SVM) classification. First, the best parameter selection is considered on the basis of prior information of the data with the help of Maximum Likelihood (ML) method and Nelder-Mead (N-M) simplex method. Then, the new rule-based meta-learning approach is constructed and tested on different sizes of 112 datasets with binary class as well as multi-classclassification problems. We observe that our rule-based methodology provides significant improvement of computational time as well as accuracy in some specific cases. |
| บรรณานุกรม | : |
Ali, Shawkat. , Smith, Kate A., 1970- . (2548). Kernel width selection for SVM classification : a meta-learning approach.
กรุงเทพมหานคร : Central Queensland University, Australia. Ali, Shawkat. , Smith, Kate A., 1970- . 2548. "Kernel width selection for SVM classification : a meta-learning approach".
กรุงเทพมหานคร : Central Queensland University, Australia. Ali, Shawkat. , Smith, Kate A., 1970- . "Kernel width selection for SVM classification : a meta-learning approach."
กรุงเทพมหานคร : Central Queensland University, Australia, 2548. Print. Ali, Shawkat. , Smith, Kate A., 1970- . Kernel width selection for SVM classification : a meta-learning approach. กรุงเทพมหานคร : Central Queensland University, Australia; 2548.
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