图 书 馆
学习使用梯度下降排序Learning to Rank Using Gradient Descent |
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| 课程网址: | http://videolectures.net/icml2015_burges_learning_to_rank/ |
| 主讲教师: | Chris Burges |
| 开课单位: | 微软研究院 |
| 开课时间: | 2015-12-05 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function, and we introduce RankNet, an implementation of these ideas using a neural network to model the underlying ranking function. We present test results on toy data and on data from a commercial internet search engine. |
| 关 键 词: | 排列函数; 梯度下降; 神经网络 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2023-05-15：chenxin01 |
| 最后编审: | 2023-05-22：chenxin01 |
| 阅读次数: | 17 |