图 书 馆
机器学习中的矩阵计算Matrix Computations in Machine Learning |
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| 课程网址: | http://videolectures.net/icml09_dhillon_itmcml/ |
| 主讲教师: | Inderjit S. Dhillon |
| 开课单位: | 德克萨斯大学 |
| 开课时间: | 2009-08-26 |
| 课程语种: | 英语 |
| 中文简介: |  Matrix Computations在科学和工程的所有领域都无处不在。在本次演讲中，我将首先调查矩阵计算中的一些传统问题，并讨论解决它们时出现的问题，例如精度，算法和软件。然后，我将讨论机器学习中出现的各种矩阵计算问题，尤其是专业计算，例如非负矩阵分解，多级图聚类和内核学习。最后，我将以指向资源和讨论的方式结束。 |
| 课程简介: | Matrix Computations are ubiquitous in all areas of science and engineering. In this talk, I will first survey some traditional problems in matrix computations and discuss issues that arise in solving them, such as, accuracy, algorithms and software. Then, I will discuss various matrix computation problems that arise in machine learning, especially specialized computations, such as non-negative matrix factorization, multilevel graph clustering and kernel learning. I will conclude with a pointer to resources and a discussion. |
| 关 键 词: | 矩阵计算; 机器学习; 非负矩阵分解 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-08：yumf |
| 阅读次数: | 194 |