不可知论者的主动学习Agnostic Active Learning |
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课程网址: | http://videolectures.net/mlss06tw_langford_aal/ |
主讲教师: | John Langford |
开课单位: | 微软公司 |
开课时间: | 2007-02-25 |
课程语种: | 英语 |
中文简介: | 主动学习的最大希望是,通过交互,所需样本的数量可以减少到标准批量监督学习方法所需数量的对数。为了实现这一承诺,主动学习必须能够处理嘈杂的数据。我们展示了如何在主动学习环境中处理甚至是恶意噪声,消除噪声这一常规主动学习应用的障碍。 |
课程简介: | The great promise of active learning is that via interaction the number of samples required can be reduced to logarithmic in the number required for standard batch supervised learning methods. To achieve this promise, active learning must be able to cope with noisy data. We show how it is possible to cope with even malicious noise in an active learning setting, removing noise an obstacle to regular application of active learning. |
关 键 词: | 主动学习; 监督学习; 消除噪音 |
课程来源: | 视频讲座网 |
最后编审: | 2020-06-08:吴雨秋(课程编辑志愿者) |
阅读次数: | 157 |