图 书 馆
优化学习和数据分析Optimization in Learning and Data Analysis |
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| 课程网址: | http://videolectures.net/kdd2013_wright_data_analysis/ |
| 主讲教师: | Stephen J. Wright |
| 开课单位: | 威斯康星大学 |
| 开课时间: | 2013-09-27 |
| 课程语种: | 英语 |
| 中文简介: |  优化工具对于数据分析和学习至关重要。优化观点提供了宝贵的见解，优化公式导致了具有良好理论特性的实用算法。反过来，丰富的学习和数据分析中的问题集合为优化算法提供了新的观点，并推动了该领域的新基础研究。我们讨论了该领域中的几个领域的研究，包括信号重建，流形学习和回归/分类，在每种情况下都描述了最近开发的研究，其中优化算法已经成功开发和应用。重点是优化和线性代数的异步并行算法及其在数据分析和学习中的应用。 |
| 课程简介: | Optimization tools are vital to data analysis and learning. The optimization perspective has provided valuable insights, and optimization formulations have led to practical algorithms with good theoretical properties. In turn, the rich collection of problems in learning and data analysis is providing fresh perspectives on optimization algorithms and is driving new fundamental research in the area. We discuss research on several areas in this domain, including signal reconstruction, manifold learning, and regression / classification, describing in each case recent research in which optimization algorithms have been developed and applied successfully. A particular focus is asynchronous parallel algorithms for optimization and linear algebra, and their applications in data analysis and learning. |
| 关 键 词: | 优化学习; 数据分析 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2020-10-28：zyk |
| 最后编审: | 2020-11-01：zyk |
| 阅读次数: | 55 |