应beat365官方网站的邀请， 美国北卡罗来纳大学教堂山分校(The University of North Carolina at Chapel Hill)刘玉峰教授将访问我校，并作学术报告。 

        时间：7月14日（周一）早9:00
        地点：理科楼122
        报告题目：Multicategory Angle-based Large-margin Classification  

        报告摘要：Large-margin classifiers are popular classification methods in both machine learning and statistics. These techniques have been successfully applied in many scientific disciplines such as bioinformatics. Despite the success of binary large-margin classifiers, extensions to multicategory problems are quite challenging. Among existing simultaneous multicategory large-margin classifiers, a common approach is to learn k different classification functions for a k-class problem with a sum-to-zero constraint. Such a formulation can be inefficient. In this talk, I will present a new Multicategory Angle-based large-margin Classification (MAC) framework. The proposed MAC structure considers a simplex based prediction rule without the sum-to-zero constraint, and consequently enjoys more efficient computation. Many binary large-margin classifiers can be naturally generalized for multicategory problems through the MAC framework. Both theoretical and numerical studies will be discussed to demonstrate the usefulness of the proposed MAC classifiers.