Conference on Statistical Machine Learning and Data Science

北卡罗来纳大学教堂山分校将于2016年6月6日至8日举办为期三天的统计机器学习和数据科学会议。（见http://www.unc.edu/~yfliu/sldm2016/）目标是将来自学术界、工业界和政府的统计学习和数据科学研究人员聚集在一起，营造一种专注于统计学习理论、方法和应用发展的激励氛围。统计机器学习是一门相对较新的学科，从人工智能和多元统计的机器学习方法发展而来。它对数据科学和大数据这一新的重要领域也起着至关重要的作用。NSF基金将提供旅行支持，以增加能够参加的初级研究人员的数量。美国统计协会统计机器学习和数据科学分会将于2016年6月6日至8日在北卡罗来纳大学教堂山分校举行会议。会议的主题包括但不限于：大数据分析、分类、计算生物学、协方差估计、图形模型、高维数据、学习理论、模型选择、网络分析、精准医学、信号和图像处理。该奖项将为初级研究人员提供差旅支持。

The University of North Carolina at Chapel Hill will host a three day conference on Statistical Machine Learning and Data Science from June 6-8, 2016. (See http://www.unc.edu/~yfliu/sldm2016/.) The objective is to bring together researchers in statistical learning and data science from academia, industry, and government in a stimulating atmosphere focused on the development of statistical learning theory, methods and applications. Statistical machine learning is a relatively new discipline, evolving from machine learning methods of artificial intelligence and multivariate statistics. It also plays an essential role for the new important area of data science and big data. NSF funding will provide travel support to increase the number of junior researchers who are able to attend.The Section on Statistical Machine Learning and Data Science of the American Statistical Association will hold a meeting at the University of North Carolina at Chapel Hill from June 6-8, 2016. Topics of the conference include, but are not limited to, big data analytics, classification, computational biology, covariance estimation, graphical models, high dimensional data, learning theory, model selection, network analysis, precision medicine, and signal and image processing. This award will provide travel support for junior researchers.