图 书 馆
探索海洋传感器数据与中心度相关的属性Exploring the hubness-related properties of oceanographic sensor data |
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| 课程网址: | http://videolectures.net/sikdd2011_tomasev_oceanographic/ |
| 主讲教师: | Nenad Tomašev |
| 开课单位: | 约瑟夫·斯特凡学院 |
| 开课时间: | 2011-11-04 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | In this paper we examine how the high dimensionality of oceanographic sensor data impacts the potential use of nearest-neighbor machine learning methods. We focus on one particular consequence of the curse of dimensionality – hubness. We examine the hubness of oceanographic data and show how it can be used to visualize and detect both prototypical sensors/locations, as well as ambiguous and potentially erroneous ones. We proceed to define an easy classification problem on the data, showing that the recently developed hubness-aware classification methods may help to overcome some of the hubness-related issues in sensor data. |
| 关 键 词: | 海洋传感器; 机器学习; 可视化和检测原型传感器 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-07-28：yumf |
| 阅读次数: | 19 |