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Ensemble Learning Related Publication
<nowiki>[</nowiki>[MainPage|Back to main page] <nowiki>]</nowiki> ===Book Chapter=== * Zhi-Hua Zhou and __Yang Yu__. ''The AdaBoost algorithm''. In: X. Wu and V. Kumar eds. '''The Top Ten Algorithms in Data Mining''', Boca Raton, FL: Chapman & Hall, 2009. ([^http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/top10chapter.pdf|Preprint PDF]) ===Journal Articles=== * __Yang Yu__ and Zhi-Hua Zhou. ''A framework for modeling positive class expansion with single snapshot''. '''Knowledge and Information Systems''', 2010, 25(2):211-227. (Extended from PAKDD'08) ([^http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/kais10pakdd.pdf|Preprint PDF]) ([^http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/annex/pakdd08aslides.pdf|slides]) ([^http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/annex/SGBDota.htm|code&data]) * Fei Tony Liu, Kai Ming Ting, __Yang Yu__, and Zhi-Hua Zhou . ''Spectrum of variable-random trees''. '''Journal of Artificial Intelligence Research''', 2008, 32:355-384. ([^http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/jair08.pdf|Preprint PDF]) * __Yang Yu__, De-Chuan. Zhan, Xu-Ying Liu, Ming Li, and Zhi-Hua Zhou. ''Predicting future customers via ensembling gradually expanded trees''. '''International Journal of Data Warehousing and Mining''', 2007 3(2): 12-21. <font color="blue">(Invited paper for the PAKDD'06 Data Mining Competition (Open Category) Grand Champion Team)</font> ([^http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/ijdwm07.pdf|Preprint PDF]) * Zhi-Hua Zhou and __Yang Yu__. ''Ensembling local learners through multi-modal perturbation''. '''IEEE Transactions on System, Man, And Cybernetics - Part B: Cybernetics''', 2005, 35(4): 725-735. ([^http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/tsmcb05.pdf|Preprint PDF]) ([^http://lamda.nju.edu.cn/code_FASBIR.ashx|code]) * Zhi-Hua Zhou and __Yang Yu__. ''Adapt bagging to nearest neighbor classifiers''. '''Journal of Computer Science and Technology''', 2005, vol.20, no.1 pp.48-54. ([^http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/jcst05.pdf|Preprint PDF]) ([^http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/annex/jcst05-expdata.rar|detailed result]) ===Conference Papers=== * Chao Qian, __Yang Yu__ and Zhi-Hua Zhou. ''Pareto ensemble pruning''. In: '''Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI'15)''', Austin, TX, 2015, pp.2935-2941.([{UP}papers/aaai15-pep.pdf|PDF]) * Qing Da, __Yang Yu__, and Zhi-Hua Zhou. ''Learning with augmented class by exploiting unlabeled data''. In: '''Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI'14)''', Québec city, Canada, 2014, pp.1760-1766. ([^http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/aaai14lacu.pdf|PDF]) * Qing Da, __Yang Yu__, and Zhi-Hua Zhou. ''Napping for functional representation of policy''. In: '''Proceedings of the 2014 International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'14)''', Paris, France, 2014, pp.189-196. ([{UP}papers/aamas14-nap.pdf|PDF]) * Nan Li, __Yang Yu__, and Zhi-Hua Zhou. ''Diversity regularized ensemble pruning''. In: '''Proceedings of the 23rd European Conference on Machine Learning (ECML'12)''', Bristol, U.K., 2012, pp.330-345. ([^{UP}papers/ecml12-divprune.pdf|PDF]) ([^http://lamda.nju.edu.cn/code_DREP.ashx|code]) * Sheng-Jun Huang, __Yang Yu__, and Zhi-Hua Zhou. ''Multi-label hypothesis reuse''. In: '''Proceedings of the 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'12)''', Beijing, China, 2012, pp.525-533. ([^http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/kdd12mahr.pdf|PDF]) ([^http://lamda.nju.edu.cn/code_MAHR.ashx|code]) <font color="blue">(The poster presentation won the Best Poster Award at KDD'12)</font> * Sheng-Jun Huang, __Yang Yu__ and Zhi-Hua Zhou, ''Multi-label boosting via hypothesis reuse''. In: '''Proceedings of NIPS Workshop on Chanllenges in Learning Hierarchical Models: Transfer Learning and Optimization''', Granada, Spain 2011. * __Yang Yu__, Yu-Feng Li, and Zhi-Hua Zhou. ''Diversity regularized machine'' In: '''Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI'11)''', Barcelona, Spain, 2011, pp. 1603-1608. ([^http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/ijcai11drm.pdf|PDF]) ([^http://lamda.nju.edu.cn/code_DRM.ashx|code]) * Nan Li, __Yang Yu__, and Zhi-Hua Zhou. ''Semi-naive exploitation of one-dependence estimators''. In: '''Proceedings of the 9th IEEE International Conference on Data Mining (ICDM'09)''', Miami, FL, 2009, pp.278-287. ([^http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/icdm09a.pdf|PDF]) * __Yang Yu__ and Zhi-Hua Zhou. ''A framework for modeling positive class expansion with single snapshot''. In: '''Proceedings of the 12th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'08)''', Osaka, Japan, LNAI 5012, 2008, pp.429-440. ([^http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/pakdd08a.pdf|PDF]) ([^http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/annex/pakdd08aslides.pdf|slides]) <font color="blue">(This paper won the Best Paper Award at PAKDD'08)</font> * Li-Ping Liu, __Yang Yu__, Yuan Jiang, and Zhi-Hua Zhou. ''TEFE: A time-efficient approach to feature extraction''. In: '''Proceedings of the 8th IEEE International Conference on Data Mining (ICDM'08)''', Pisa, Italy, 2008, pp.423-432. ([^http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/icdm08c.pdf|PDF]) * __Yang Yu__, Zhi-Hua Zhou, and Kai Ming Ting. ''Cocktail ensemble for regression''. In: '''Proceedings of the 7th IEEE International Conference on Data Mining (ICDM'07)''', Omaha, NE, 2007, pp.721-726. ([^http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/icdm07.pdf|PDF]) ===Thesis=== * __Yang Yu__. '''Local Validity Based Selective Ensemble of Decision Trees'''. B.Sc. Thesis, 2004. (in Chinese with English abstract) ([^http://lamda.nju.edu.cn/yuy/files/BSc.thesis.pdf|PDF])
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