学术报告:An Effective Algorithm for Big Streaming Data
发布时间: 2018-12-18 浏览次数: 13
 

报告人Zhide Fang(方志德),PhD, Professor and Director of Biostatistics in the School of Public Health, Professor in the Department of Genetic, School of Medicine, Louisiana State University Health Sciences Center at New Orleans, Statistician in Louisiana Clinical & Translational Science Center.

报告题目An Effective Algorithm for Big Streaming Data

报告时间20181228(星期五)上午9:00

报告地点机电楼A407

报告摘要With the advance of information technology, big data has been generated in many areas, and is transforming our lives and lifestyles. In this talk, we will introduce the definition and examples of big streaming data. An effective learning algorithm, which intends to balance the misclassification cost and sparsity, will be discussed. We will present theoretical analysis on the bounds of the regret of actions and cost, along with the comparison results with baseline methods in real-life streaming, high-dimensional data.