Statistics in IT age
报告人: 郁彬 教授，University of California at Berkeley.
时间: 2011年12月15日（周四）下午 2:00 pm－3:00 pm.
地点: 北京大学理科一号楼（数学学院）1114教室.
主办: 北京大学数学科学学院；北京大学数学研究所；北京大学统计科学中心.
Abstract:
Information technology advances have revolutionized data
collection for all fields in science and engineering. Statistics is
indispensable for extracting useful information from the massive and
high-dim data available. In this talk, I will give an overview of
research in my group on statistical machine learning and
interdisciplinary research at UC Berkeley. I will cover some theory
for sparse modeling and data projects from neuroscience, remote
sensing and text mining. In particular, I will show results from our
collaborative work with the Gallant Lab on movie reconstruction from
fMRI brian signals.
This work in Current Biology has been selected as one of the best 50
inventions of 2011 by the TIME Magazine.
欢迎感兴趣的老师和同学们积极参加！
