图 书 馆
DNA匹配作为贝叶斯推理的一个例子DNA matching as an example of Bayesian inference |
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| 课程网址: | http://videolectures.net/lsoldm2013_kappen_dna_matching/ |
| 主讲教师: | Bert Kappen |
| 开课单位: | 内梅亨大学 |
| 开课时间: | 2013-11-07 |
| 课程语种: | 英语 |
| 中文简介: |  在本次演讲中，我将展示贝叶斯网络如何用于法医中的失踪人员识别。在大规模灾难中，快速准确地识别悲剧的受害者非常重要。但是，当可用信息有限且只有部分 DNA 数据时，识别任务会变得非常困难且耗时。为此，我们与荷兰法医研究所共同开发了波拿巴灾难受害者识别系统。 Bonaparte 使用贝叶斯网络来模拟亲属遗传物质的统计关系，并计算失踪人员是每个家庭成员的统计可能性。通过这种方式，可以结合使用来自同一家庭的许多成员的数据来识别受害者。 Bonaparte DVI 首次被荷兰法医研究所用于匹配 2010 年利比亚飞机失事的 129 个身体部位。最近，Bonaparte 被用于识别 13 岁谋杀案的肇事者。 |
| 课程简介: | In this talk, I show how Bayesian networks can be used for missing person identification in forensics. In large scale disasters, it is tremendously important that victims of tragedies are quickly and accurately identified. But when there may be limited information available, and only partial DNA data, the task of identification can become very difficult and time consuming. For this purpose, we developed the Bonaparte Disaster Victim Identification system together with the Netherlands Forensic Institute. Bonaparte uses Bayesian networks to model statistical relationships of genetic material of relatives and calculates statistical likelihoods of the missing people being a member of each family. In this way data from many members of the same family can be used in combination to identify victims. Bonaparte DVI was first used by the Netherland Forensic Institute to match 129 body parts from a plane crash in Libya in 2010. More recently Bonaparte was used in the identification of the perpetrator in a 13-year-old murder case. |
| 关 键 词: | 贝叶斯网络; 受害者识别系统; DNA 数据 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2021-07-02：liyy |
| 最后编审: | 2021-07-02：liyy |
| 阅读次数: | 78 |