讲座题目：A New Framework for the Study of Multi-label Classifification
主讲人：刘文臣
讲座时间：2021年6月11日（周五）下午16:00——17:00
讲座地点：综合楼644
主讲人简介：
刘文臣，上海立信会计金融学院太阳成集团tyc7111cc常任轨教师。2019年毕业于华东师范大学太阳成集团tyc7111cc，统计学博士。2017年-2018年访问佛罗里达州立大学。主要从事零一膨胀模型，统计算法，多元响应变量回归等方面的研究工作。先后在Computational Statistics & Data Analysis，Statistical Papers，Statistic and Its interface 等期刊上发表过论文。
讲座摘要：
Nowadays, multi-label classification methods are increasingly required by modern applications, such as gene function classification, music categorization and birds classification. In this paper, a new framework for multi-label classification is built. Starting from marginal loss functions not necessarily derived from probability distributions, we utilize an additive over-parametrization with shrinkage to incorporate label dependencies into the criterion. The non-convex robust loss functions is used to reduce the influence of mislabelling labels. A joint regularization method by sparsity and rank reduction method is utilized to deal with high dimension data. Masking method is used to handle missing labels. Simulation and real data analysis shows the power of this new method.
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