图 书 馆
上下文时间序列数据的在线特征选择Online feature selection for contextual time series data |
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| 课程网址: | http://videolectures.net/slsfs05_nurmi_ofsct/ |
| 主讲教师: | Petteri Nurmi |
| 开课单位: | 国赫尔辛基科技机构 |
| 开课时间: | 2007-02-25 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We propose a simple and eficient method for online feature selection from time series data. Our method is based on calculating characteristics of the di erent features and calculating similarity values for feature pairs using Gaussian kernels. Our motivation has been to design a method that can be used to select the most relevant context features for activity recognition. Namely, traditional feature selection methods have been designed for offline use and thus are not applicable in our setting. The eficiency of our method is evaluated using toy data and real context data, gathered using a 3D accelerometer. |
| 关 键 词: | 时间序列; 高斯核计算; 加速度计收集 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-09-21：cwx |
| 阅读次数: | 27 |