Lifelong machine learning： a paradigm for continuous learning  

作　　者：Bing LIU 

机构地区：[1]Department of Computer Science, University of Illinois at Chicago, Chicago IL 60607, USA

出　　处：《Frontiers of Computer Science》2017年第3期359-361,共3页中国计算机科学前沿（英文版）

摘　　要：Machine learning （ML） has been instrumental for the ad- vances of both data analysis and artificial intelligence （AI）. The recent success of deep learning brings it to a new height. ML algorithms have been successfully used in almost all ar- eas of applications in industry, science, and engineering.Machine learning （ML） has been instrumental for the ad- vances of both data analysis and artificial intelligence （AI）. The recent success of deep learning brings it to a new height. ML algorithms have been successfully used in almost all ar- eas of applications in industry, science, and engineering.

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] G72[自动化与计算机技术—控制科学与工程]