图 书 馆
处理大数据集的平均支持向量机Averaging Support Vector Machines for Processing Large Data Sets |
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| 课程网址: | http://videolectures.net/icml08_garcke_asvm/ |
| 主讲教师: | Jochen Garcke |
| 开课单位: | 柏林理工大学 |
| 开课时间: | 2008-09-01 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | The handling of large data sets by support vector machines (SVMs)(Vapnik, 1998) employing a nonlinear kernel suffers from the non-linear scaling of the numerical solution techniques for the underlying optimisation problem. This is in particular valid if the kernel matrix cannot be stored in the main memory anymore and therefore the evaluation of the kernel on given data points needs to be recomputed again and again. We investigate a simple approach to allow the processing of larger data sets: We separate the large data set into a number of smaller ones, each small enough to allow the caching of the kernel matrix, and learn a support vector machine for each of these data sets. For the evaluation on data points we then just simply average the results of the different SVMs. |
| 关 键 词: | 非线性内核; 向量机; 大数据集 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-04-18：cwx |
| 阅读次数: | 85 |