使用随机投影进行高效的机器学习][Efficient Machine Learning using Random Projections]

使用随机投影进行高效的机器学习 Efficient Machine Learning using Random Projections


课程网址:	http://videolectures.net/eml07_davenport_eml/
主讲教师:	Mark A. Davenport
开课单位:	莱斯大学
开课时间:	2007-12-29
课程语种:	英语
中文简介:	作为用于降低维数的繁琐的非线性方案的替代方案，随机线性投影技术最近已成为用于存储和高维数据的基本处理的可行替代方案。我们引用新理论来激发以下主张：随机投影方法可以与用于多种机器学习任务的标准算法结合使用，几乎不会降低性能。因此，可以显示随机投影导致显着的计算节省和可证明的良好性能。
课程简介:	As an alternative to cumbersome nonlinear schemes for dimensionality reduction, the technique of random linear projection has recently emerged as a viable alternative for storage and rudimentary processing of high-dimensional data. We invoke new theory to motivate the following claim: the random projection method may be used in conjunction with standard algorithms for a multitude of machine learning tasks, with virtually no degradation in performance. Thus, random projections can been shown to result in both significant computational savings and provably good performance.
关键词:	非线性; 随机线性; 标准算法
课程来源:	视频讲座网
最后编审:	2019-04-10：lxf
阅读次数:	169

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