智信讲堂第5期-英国布鲁内尔大学的Asoke Nandi教授

发布者:系统管理员发布时间:2021-04-20浏览次数:243

智信讲堂第5期将于2021年4月23日(周五)16:30-17:30通过ZOOM平台线上举行,特邀英国布鲁内尔大学的Asoke Nandi教授做题为Degree Estimation from Noisy Polynomial Data via Time-series Modelling的报告,欢迎参加!


报告人:英国布鲁内尔大学 Asoke Nandi教授
题目:Degree Estimation from Noisy Polynomial Data via Time-series Modelling
时间:2021年4月23日(周五)16:30-17:30
形式:ZOOM线上报告
会议号:69702878853

参会密码:960195


摘要: 

This lecture has particular relevance to data science (mathematics, computer science, and electrical engineering). It is based on refereed research results that have been published very recently, i.e., over the last 12 months. It is relevant for polynomial regression. An accurate estimation of the polynomial degree is essential for better detection, estimation, and prediction. This will demonstrate how the degree of a polynomial can be estimated in a completely novel way and more successfully. The starting point is uniformly sampled polynomial data, the degree and the coefficients of the polynomial are unknown. The first part deals with noise-free data, while the second part deals with noisy data.