图 书 馆
贝叶斯推理:原则与实践Bayesian Inference: Principles and Practice |
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| 课程网址: | http://videolectures.net/mlss03_tipping_pp/ |
| 主讲教师: | Mike Tipping |
| 开课单位: | Vector Anomaly |
| 开课时间: | 2007-02-25 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | The aim of this course is two-fold: to convey the basic principles of Bayesian machine learning and to describe a practical implementation framework. Firstly, we will give an introduction to Bayesian approaches, focussing on the advantages of probabilistic modelling, the concept of priors, and the key principle of marginalisation. Secondly, we will exploit these ideas to realise practical algorithms for sparse linear regression and classification, as exemplified by models such as the "relevance vector machine". |
| 关 键 词: | 概率建模; 线性回归; 边缘原则 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2023-03-22：chenxin01 |
| 最后编审: | 2023-05-22：chenxin01 |
| 阅读次数: | 27 |