图 书 馆
样本计算权衡The Sample-Computational Tradeoff |
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| 课程网址: | http://videolectures.net/nipsworkshops2012_shalev_shwartz_tradeof... |
| 主讲教师: | Shai Shalev-Shwartz |
| 开课单位: | 耶路撒冷希伯来大学 |
| 开课时间: | 2013-01-16 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | When analyzing the error of a learning algorithm, it is common to decompose the error into approximation error (measuring how well the hypothesis class fits the problem) and estimation error (due to the fact we only receive a finite training set). In practice, we usually pay an additional error, called optimization error, due to the fact that we have a limited computational power. I will describe this triple tradeoff and will demonstrate how more training examples can lead to more efficient learning algorithms. |
| 关 键 词: | 学习算法; 近似误差; 估计误差 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-09-08：lxf |
| 阅读次数: | 51 |