图 书 馆
基于支持向量机的系统辨识的多核测试Multiple Kernel Testing for SVM-based System Identification |
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| 课程网址: | http://videolectures.net/nipsworkshops2010_taylor_mkt/ |
| 主讲教师: | John Shawe-Taylor |
| 开课单位: | 伦敦大学学院 |
| 开课时间: | 2011-01-12 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We apply methods of multiple kernel learning to the problem of system identification for multi-dimensional temporal data. Rather than building a full probabilistic model, we take a computationally simple approach that uses out of the box machine learning methods. We attempt to learn the covariance function of a stochastic process via multiple kernel learning. We achieve promising preliminary results and the work suggests an abundance of future theoretical work. We hope to draw on the theory of SVM methods to give a principled learning theory style description of system identification in stochastic processes. |
| 关 键 词: | 多核学习方法; 多维时态数据; 概率模型; 协方差函数 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-10-22：chenxin |
| 阅读次数: | 44 |