图 书 馆
逆问题和机器学习中的正则化方法Regularization methods in inverse problems and machine learning |
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| 课程网址: | http://videolectures.net/8ecm2021_burger_methods_inverse/ |
| 主讲教师: | Martin Burger, |
| 开课单位: | 欧洲研究委员会 (ERC) |
| 开课时间: | 2021-07-06 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Regularization methods are at the heart of the solution of inverse problems and are of increasing importance in modern machine learning. In this talk we will discuss the modern theory of (nonlinear) regularization methods and some applications. We will put a particular focus on variational and iterative regularization methods and their connection with learning problems: we discuss the use of such regularization methods for learning problems on the one hand, but also the current route of learning regularization methods from data. |
| 关 键 词: | 逆问题; 正则化方法; 非线性 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-03-24：hqh |
| 最后编审: | 2022-03-24：hqh |
| 阅读次数: | 83 |