University of Ulster 王晖教授学术报告 7 月18日上午

 报 告 人： 王晖 教授  

    University of Ulster, UK 

报告题目：Hyperrelations – lattice-based learning machine, contextual probability and similarity kernels

时    间：2013 年7 月18日（星期四）上午9:00

地    点： 成功楼603教室

参加对象：计算机科学系全体教师和研究生；学院其他教师. 

报告摘要: Hyperrelations are a generalisation of relations from value-based to set-based. Hyperrelations can be used as knowledge representation, and as the means of reasoning via the notions of contextual probability and kernel similarity. More specifically, hyperrelations can be used for approximation based learning which allows incremental learning; for density based clustering which allows automatic determination of the cluster number; for contextual probability estimation which is non-parametric, and does not require conditional independence of attributes; and for designing similarity kernels that lend themselves for use in kernel machines. Hyperrelations and other related concepts/operations can also be used in text and video analysis.。

专家介绍 ：   

Hui Wang is Professor of Computer Science at the University of Ulster, UK. He receives his BSc and MSc degrees in computer science from Jilin University and PhD in artificial intelligence from the University of Ulster. His research interests include theoretical aspects of learning and reasoning and applications in text, video, time series and spectral data analysis. His research in these areas has been funded by local, national and international funding bodies, and has resulted in over 170 archival publications. He was a Tang Aoqing Scholar at Jilin University and was a visiting professor at Tsinghua University. He is an associate editor for IEEE Transactions on Cybernetics, International Journal of Computational Intelligent Systems and International Journal of Machine Learning and Cybernetics.