Fast Learning With Polynomial Kernels
文献类型：期刊论文
| 作者 | Zeng, Jinshan3; Lin, Shaobo1,2; Liu JG(刘金国) ; Tian YZ(田远征); Chen KL(陈科利)
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| 刊名 | IEEE Transactions on Cybernetics
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| 出版日期 | 2018 |
| 页码 | 1-13 |
| 关键词 | Kernel methods learning systems learning theory polynomial kernel |
| ISSN号 | 21682267 |
| 产权排序 | 1 |
| 通讯作者 | Zeng, Jinshan |
| 中文摘要 | This paper proposes a new learning system of low computational cost, called fast polynomial kernel learning (FPL), based on regularized least squares with polynomial kernel and subsampling. The almost optimal learning rate as well as the feasibility verifications including the subsampling mechanism and solvability of FPL are provided in the framework of learning theory. Our theoretical assertions are verified by numerous toy simulations and real data applications. The studies in this paper show that FPL can reduce the computational burden of kernel methods without sacrificing its generalization ability very much. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.sia.cn/handle/173321/22197]  |
| 专题 | 沈阳自动化研究所_空间自动化技术研究室 |
| 作者单位 | 1.Department of Mathematics, Wenzhou University, Wenzhou 325035, China 2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 3.School of Computer and Information Engineering, Jiangxi Normal University, Nanchang 330022, China |
| 推荐引用方式 GB/T 7714 | Zeng, Jinshan,Lin, Shaobo,Liu JG,et al. Fast Learning With Polynomial Kernels[J]. IEEE Transactions on Cybernetics,2018:1-13. |
| APA | Zeng, Jinshan,Lin, Shaobo,刘金国,田远征,&陈科利.(2018).Fast Learning With Polynomial Kernels.IEEE Transactions on Cybernetics,1-13. |
| MLA | Zeng, Jinshan,et al."Fast Learning With Polynomial Kernels".IEEE Transactions on Cybernetics (2018):1-13. |
入库方式： OAI收割
来源：沈阳自动化研究所
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