数据科学与相变的诅咒Data science and the curse of phase transitions |
|
课程网址: | http://videolectures.net/BIDSAconference2016_mezard_data_science/ |
主讲教师: | Marc Mézard |
开课单位: | 埃科尔普通高等学校 |
开课时间: | 2016-09-28 |
课程语种: | 英语 |
中文简介: | 从大型数据集中提取信息,更普遍地说,从大型数据集中提取知识,可以说是现代科学的主要前沿领域之一,这一点在许多学科中都很常见。机器学习和信号处理的贝叶斯方法提供了一个概念框架,其中信息位通过约束(由于先验知识或测量)进行交互。在这方面,统计物理学有助于开发新的方法和非常强大的算法,集体现象,如相变和玻璃相的出现,发挥着重要作用。本次演讲将回顾该领域的一些主要发展,并通过压缩传感等具体示例加以说明。 |
课程简介: | Extracting information, and more generally extracting knowledge from large datasets is arguably one of the main frontiers of modern science, common to a broad variety of disciplines. Bayesian approaches to machine learning and signal processing provide a conceptual framework in which information bits interact through constraints (due to prior knowledge or to measurements). Statistical physics has helped to develop new approaches and very powerful algorithms in this context, where collective phenomena, like phase transitions and the occurrence of glassy phases, play a major role. This talk will review some of the main developments in this field, illustrated by specific examples like compressed sensing. |
关 键 词: | 大型数据集; 现代科学; 机器学习和信号处理 |
课程来源: | 视频讲座网 |
数据采集: | 2021-12-26:zkj |
最后编审: | 2021-12-26:zkj |
阅读次数: | 72 |