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Frontiers of Computer Science

Front. Comput. Sci.    2017, Vol. 11 Issue (3) : 359-361     DOI: 10.1007/s11704-016-6903-6
Lifelong machine learning: a paradigm for continuous learning
Bing LIU()
Department of Computer Science, University of Illinois at Chicago, Chicago IL60612, USA
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Corresponding Authors: Bing LIU   
Just Accepted Date: 05 September 2016   Online First Date: 17 October 2016    Issue Date: 25 May 2017
 Cite this article:   
Bing LIU. Lifelong machine learning: a paradigm for continuous learning[J]. Front. Comput. Sci., 2017, 11(3): 359-361.
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Bing LIU
1 ChenZ Y, MaN Z, LiuB. Lifelong learning for sentiment classification. In: Proceedings of ACL Conference. 2015
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2 PanS J, YangQ. A survey on transfer learning. IEEE Transaction on Knowledge and Data Engineering, 2010, 22(10): 1345–1359
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3 CaruanaR. Multitask learning. Machine Learning, 1997, 28(1)
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4 ThrunS, Mitchell T M. Lifelong robot learning. In: Steels L, ed. The Biology and Technology of Intelligent Autonomous Agents. Berlin: Springer, 1995, 165–196
doi: 10.1007/978-3-642-79629-6_7
5 ThrunS. Is learning the n-th thing any easier than learning the first? Advances in Neural Information Processing Systems, 1996: 640–646
6 SilverD L, MercerR E. The task rehearsal method of life-long learning: overcoming impoverished data. In: Proceedings of the 15th Conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence. 2002, 90–101
doi: 10.1007/3-540-47922-8_8
7 FeiG L, WangS, LiuB. Learning cumulatively to become more knowledgeable. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2016, 1565–1574
doi: 10.1145/2939672.2939835
8 RuvoloP, EatonE. ELLA: an efficient lifelong learning algorithm. In: Proceedings of International Conference on Machine Learning. 2013, 507–515
9 PentinaA, Lampert C H. A PAC-Bayesian bound for lifelong learning. In: Proceedings of International Conference on Machine Learning. 2014, 991–999
10 ChenZ Y, LiuB. Topic modeling using topics from many domains, lifelong learning and big data. In: Proceedings of International Conference on Machine Learning. 2014
11 LiuQ, LiuB, ZhangY L, Kim D S, GaoZ Q . Improving opinion aspect extraction using semantic similarity and aspect associations. In: Proceedings of the 30th AAAI Conference on Artificial Intelligence. 2016
12 ShuL, LiuB, XuH, KimA. Separating entities and aspects in opinion targets using lifelong graph labeling. In: Proceedings of Conference on Empirical Methods in Natural Language Processing, 2016
13 MitchellT, CohenW, HruschkaE, Talukdar P, BetteridgeJ , CarlsonA, DalviB, GardnerM, Kisiel B, KrishnamurthyJ , LaoN, Mazaitis K, MohamedT , NakasholeN, Platanios E, RitterA , SamadiM, Settles B, WangR , WijayaD, GuptaA, ChenX, Saparov A, GreavesM , WellingJ. Never-ending learning. In: Proceedings of the 29th AAAI Conference on Artificial Intelligence. 2015, 2302–2310
14 TanakaF, Yamamura M. An approach to lifelong reinforcement learning through multiple environments. In: Proceedings of the 6th European Workshop on Learning Robots. 1997, 93–99
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