Bi-density twin support vector machines - 免費下載
論文資源
文件大小：432 K
?? 資源詳細信息
?? 溫馨提示：本資源由用戶 lyaiqing 上傳分享，僅供學習交流使用。如有侵權，請聯系我們刪除。
資源簡介
In this paper we present a classifier called bi-density twin support vector machines (BDTWSVMs) for data classification. In the training stage, BDTWSVMs first compute the relative density degrees for all training points using the intra-class graph whose weights are determined by a local scaling heuristic strategy, then optimize a pair of nonparallel hyperplanes through two smaller sized support vector machine (SVM)-typed problems. In the prediction stage, BDTWSVMs assign to the class label depending
on the kernel density degree-based distances from each test point to the two hyperplanes. BDTWSVMs not only inherit good properties from twin support vector machines (TWSVMs) but also give good description for data points. The experimental results on toy as well as publicly available datasets
indicate that BDTWSVMs compare favorably with classical SVMs and TWSVMs in terms of generalization
on the kernel density degree-based distances from each test point to the two hyperplanes. BDTWSVMs not only inherit good properties from twin support vector machines (TWSVMs) but also give good description for data points. The experimental results on toy as well as publicly available datasets
indicate that BDTWSVMs compare favorably with classical SVMs and TWSVMs in terms of generalization
立即下載此資源
提示：下載后請用壓縮軟件解壓，推薦使用 WinRAR 或 7-Zip
資源說明
下載說明
- 下載需消耗 2積分
- 24小時內重復下載不扣分
- 支持斷點續傳
- 資源永久有效
使用說明
- 下載后用解壓軟件解壓
- 推薦 WinRAR 或 7-Zip
- 如有密碼請查看說明
- 解壓后即可使用
積分獲取
- 上傳資源獲得積分
- 每日簽到免費領取
- 邀請好友注冊獎勵
- 查看詳情 →