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使用统计和语义解决大(图)数据问题

Using Statistics and Semantics to Solve Big (Graph) Data Problems
课程网址: https://videolectures.net/videos/aaai2015_getoor_data_problems  
主讲教师: Lise Getoor
开课单位: 信息不详。欢迎您在右侧留言补充。
开课时间: 2017-08-22
课程语种: 英语
中文简介:
大数据问题得益于对结构和不确定性的建模,因此越来越需要开发大型复杂概率模型的工具。这些工具应该将高级知识表示与通用的、可扩展的学习和推理算法结合起来。在这次演讲中,我将调查统计关系学习社区关于在结构丰富的多关系网络数据中学习和推理的一些最新工作。我将重点介绍人工智能的重要发展和机遇,其中人工智能的想法可以对机器学习、数据科学和数据挖掘社区即将面临的挑战产生重大影响。
课程简介: Big data problems benefit from modeling both structure and uncertainty, so there is a growing need for tools to develop large, complex probabilistic models. These tools should combine high-level knowledge representation with general purpose, scalable algorithms for learning and inference. In this talk, I will survey some of the recent work from the statistical relational learning community on learning and inference in richly-structured, multi-relational network data. I will highlight both important developments and opportunities in which ideas from AI can have great impact on upcoming challenges within the machine learning, data science and data mining communities.
关 键 词: 数据科学; 机器学习; 数据挖掘
课程来源: 视频讲座网
数据采集: 2025-05-09:zsp
最后编审: 2025-05-09:zsp
阅读次数: 2