图 书 馆
半监督学习Semi-Supervised Learning |
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| 课程网址: | http://videolectures.net/mlss09us_zhu_ssl/ |
| 主讲教师: | Jerry (Xiaojin) Zhu |
| 开课单位: | 威斯康星大学 |
| 开课时间: | 2009-07-30 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | This tutorial covers classification approaches that utilize both labeled and unlabeled data. We will review self-training, Gaussian mixture models, co-training, multiview learning, graph-transduction and manifold regularization, transductive SVMs, and a PAC bound for semi-supervised learning. We then discuss some new development, including online semi-supervised learning, multi-manifold learning, and human semi-supervised learning. |
| 关 键 词: | 高斯混合模型; 协同训练; 图转导和流形正则化; 直推式支持向量机; 半监督学习 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-01：wuyq |
| 阅读次数: | 108 |