图 书 馆
为什么是贝叶斯非参数？Why Bayesian nonparametrics? |
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| 课程网址: | http://videolectures.net/nipsworkshops2011_ghahramani_nonparametr... |
| 主讲教师: | Zoubin Ghahramani |
| 开课单位: | 剑桥大学 |
| 开课时间: | 2012-01-24 |
| 课程语种: | 英语 |
| 中文简介: |  简而言之，贝叶斯非参数模型是其参数为无限维的贝叶斯模型。 |
| 课程简介: | In short, Bayesian nonparametric model is a Bayesian model whose parameters are infinite dimensions The parameter model is to know the distribution of variables, but not the parameters of this distribution. For example, we know that x obeys the binomial distribution with parameter P. therefore, after we get the sample of X through experiments, we need to deduce back what P is. Nonparametric models don't know the distribution of variables, let alone the parameters |
| 关 键 词: | 贝叶斯非参数; 非参数模型 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2021-03-31：zyk |
| 最后编审: | 2021-03-31：zyk |
| 阅读次数: | 91 |