图 书 馆
图形模型和变分方法Graphical Models and Variational Methods |
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| 课程网址: | http://videolectures.net/mlss04_bishop_gmvm/ |
| 主讲教师: | Christopher Bishop |
| 开课单位: | 微软公司 |
| 开课时间: | 2007-02-25 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | In this course I will discuss how exponential families, a standard tool in statistics, can be used with great success in machine learning to unify many existing algorithms and to invent novel ones quite effortlessly. In particular, I will show how they can be used in feature space to recover Gaussian Process classification for multiclass discrimination, sequence annotation (via Conditional Random Fields), and how they can lead to Gaussian Process Regression with heteroscedastic noise assumptions. |
| 关 键 词: | 指数族; 机器学习; 序列注释 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-04-27：chenxin |
| 阅读次数: | 56 |