图 书 馆
邪恶的老师的好学生Good Learners for Evil Teachers |
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| 课程网址: | http://videolectures.net/icml09_dekel_glfet/ |
| 主讲教师: | Ofer Dekel |
| 开课单位: | 微软公司 |
| 开课时间: | 2009-08-26 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We consider a supervised machine learning scenario where labels are provided by a heterogeneous set of teachers, some of which are mediocre, incompetent, or perhaps even malicious. We present an algorithm, built on the SVM framework, that explicitly attempts to cope with low-quality and malicious teachers by decreasing their influence on the learning process. Our algorithm does not receive any prior information on the teachers, nor does it resort to repeated labeling (where each example is labeled by multiple teachers). We provide a theoretical analysis of our algorithm and demonstrate its merits empirically. Finally, we present a second algorithm with promising empirical results but without a formal analysis. |
| 关 键 词: | 机器学习; 恶意教师; 先验信息; 理论分析; 经验证明 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-29：yumf |
| 阅读次数: | 47 |