报告题目：Causal discovery and applications

时间：2018年12月13日15:00

地点：60-217

报告人：李久永，教授，澳大利亚南澳大学信息技术与数学学院副院长。他在澳大利亚格里菲斯大学获取博士学位。他的研究领域包括数据挖掘、生物信息学、和数据隐私保护。他领导该校的数据分析团队. 他是澳大利亚计算机学会人工智能国家委员会成员，澳大利亚数据挖掘会议指导委员会成员.曾担任澳大利亚数据挖掘会议和澳大利亚人工智能会议的主席和程序委员会主席，曾获诺基亚基金会，澳大利亚科学院，日本学术振兴协会资助高级访问学者基金。李久永教授目前领导（和领导过）澳大利亚六个国家基金的项目，在领域的顶级期刊和会议上发表出版论文超过100篇。其开发的相关软件工具在医学领域得到应用。

报告内容：Various machine learning methods make use of association relationships for classification and decision making. An association shows that two variables exhibit the same (or opposite) trend but may not indicate that the two variables have an inherent relationship. In other words, an association relationship can be spurious and/or conditional. Causal relationship discovery is to find the inherent relationships where the change of one variable leads to the change of another. The identification of casual relationships is crucial for understanding data and supports evidence based decision making. Causal discovery is a central task for science, health, economy and nearly all areas of studies. In this talk, I will discuss our work in the area and applications.

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