[1]栾寻,高尉.优化AUC两遍学习算法[J].智能系统学报,2018,13(3):395-398.[doi:10.11992/tis.201706079]
 LUAN Xun,GAO Wei.Two-pass AUC optimization[J].CAAI Transactions on Intelligent Systems,,13():395-398.[doi:10.11992/tis.201706079]
点击复制

优化AUC两遍学习算法

参考文献/References:
[1] HSIEH F, TURNBULL B W. Nonparametric and semiparametric estimation of the receiver operating characteristic curve[J]. The annals of statistics, 1996, 24(1):25-40.
[2] ELKAN C. The foundations of cost-sensitive learning[C]//Proceedings of the 17th International Joint Conference on Artificial Intelligence. Seattle, WA, 2001:973-978.
[3] GAO Wei, JIN Rong, ZHU Shenghuo, et al. One-pass AUC optimization[C]//Proceedings of the 30th International Conference on Machine Learning. Atlanta, GA, 2013:906-914.
[4] HAND D J. Measuring classifier performance:a coherent alternative to the area under the ROC curve[J]. Machine learning, 2009, 77(1):103-123.
[5] EGAN J P. Signal detection theory and ROC analysis, series in cognition and perception[M]. New York:Academic Press, 1975.
[6] WU Jianxin, BRUBAKER S C, MULLIN M D, et al. Fast asymmetric learning for cascade face detection[J]. IEEE transactions on pattern analysis and machine intelligence, 2008, 30(3):369-382.
[7] BREFELD U, SCHEFFER T. AUC maximizing support vector learning[C]//Proceedings of ICML 2005 Workshop on ROC Analysis in Machine Learning. Bonn, Germany, 2005.
[8] JOACHIMS T. A support vector method for multivariate performance measures[C]//Proceedings of the 22nd International Conference on Machine Learning. Bonn, Germany, 2005:377-384.
[9] FREUND Y, IYER R, SCHAPIRE R, et al. An efficient boosting algorithm for combining preferences[J]. Journal of machine learning research, 2003, 4:933-969.
[10] RUDIN C, SCHAPIRE R E. Margin-based ranking and an equivalence between AdaBoost and RankBoost[J]. Journal of machine learning research, 2009, 10:2193-2232.
[11] HERSCHTAL A, RASKUTTI B. Optimising area under the ROC curve using gradient descent[C]//Proceedings of the 21st International Conference on Machine Learning. Banff, Alberta, Canada, 2004.
[12] AGARWAL S, ROTH D. Learnability of bipartite ranking functions[C]//Proceedings of the 18th Annual Conference on Learning Theory. Bertinoro, Italy, 2005:16-31.
[13] GAO Wei, ZHOU Zhihua. Uniform convergence, stability and learnability for ranking problems[C]//Proceedings of the 23rd International Joint Conference on Artificial Intelligence. Beijing, China, 2013:1337-1343.
[14] ZHAO Peilin, HOI S C H, JIN Rong, et al. Online AUC maximization[C]//Proceedings of the 28th International Conference on Machine Learning. Bellevue, WA, 2011:233-240.
[15] GAO Wei, WANG Lu, JIN Rong, et al. One-pass AUC optimization[J]. Artificial intelligence, 2016, 236:1-29.
[16] SHALEV-SHWARTZ S, SINGER Y, SREBRO N, et al. Pegasos:primal estimated sub-gradient solver for SVM[J]. Mathematical programming, 2011, 127(1):3-30.
[17] CESA-BIANCHI N, LUGOSI G. Prediction, learning, and games[M]. New York:Cambridge University Press, 2006.
[18] HAZAN E, KALAI A, KALE S, et al. Logarithmic regret algorithms for online convex optimization[C]//Proceedings of the 19th Annual Conference on Learning Theory. Pittsburgh, PA, 2006:499-513.
[19] DEVROYE L, GYÖRFI L, LUGOSI G. A probabilistic theory of pattern recognition[M]. New York:Springer, 1996.
[20] KOT?OWSKI W, DEMBCZY?SKI K, HÜLLERMEIER E. Bipartite ranking through minimization of univariate loss[C]//Proceedings of the 28th International Conference on Machine Learning. Bellevue, WA, 2011:1113-1120.
相似文献/References:
[1]叶志飞,文益民,吕宝粮.不平衡分类问题研究综述[J].智能系统学报,2009,4(2):148.
 YE Zhi-fei,WEN Yi-min,LU Bao-liang.A survey of imbalanced pattern classification problems[J].CAAI Transactions on Intelligent Systems,2009,4():148.
[2]刘奕群,张 敏,马少平.基于非内容信息的网络关键资源有效定位[J].智能系统学报,2007,2(1):45.
 LIU Yi-qun,ZHANG Min,MA Shao-ping.Web key resource page selection based on non-content inf o rmation[J].CAAI Transactions on Intelligent Systems,2007,2():45.
[3]马世龙,眭跃飞,许 可.优先归纳逻辑程序的极限行为[J].智能系统学报,2007,2(4):9.
 MA Shi-long,SUI Yue-fei,XU Ke.Limit behavior of prioritized inductive logic programs[J].CAAI Transactions on Intelligent Systems,2007,2():9.
[4]姚伏天,钱沄涛.高斯过程及其在高光谱图像分类中的应用[J].智能系统学报,2011,6(5):396.
 YAO Futian,QIAN Yuntao.Gaussian process and its applications in hyperspectral image classification[J].CAAI Transactions on Intelligent Systems,2011,6():396.
[5]文益民,强保华,范志刚.概念漂移数据流分类研究综述[J].智能系统学报,2013,8(2):95.[doi:10.3969/j.issn.1673-4785.201208012]
 WEN Yimin,QIANG Baohua,FAN Zhigang.A survey of the classification of data streams with concept drift[J].CAAI Transactions on Intelligent Systems,2013,8():95.[doi:10.3969/j.issn.1673-4785.201208012]
[6]杨成东,邓廷权.综合属性选择和删除的属性约简方法[J].智能系统学报,2013,8(2):183.[doi:10.3969/j.issn.1673-4785.201209056]
 YANG Chengdong,DENG Tingquan.An approach to attribute reduction combining attribute selection and deletion[J].CAAI Transactions on Intelligent Systems,2013,8():183.[doi:10.3969/j.issn.1673-4785.201209056]
[7]胡小生,钟勇.基于加权聚类质心的SVM不平衡分类方法[J].智能系统学报,2013,8(3):261.
 HU Xiaosheng,ZHONG Yong.Support vector machine imbalanced data classification based on weighted clustering centroid[J].CAAI Transactions on Intelligent Systems,2013,8():261.
[8]丁科,谭营.GPU通用计算及其在计算智能领域的应用[J].智能系统学报,2015,10(1):1.[doi:10.3969/j.issn.1673-4785.201403072]
 DING Ke,TAN Ying.A review on general purpose computing on GPUs and its applications in computational intelligence[J].CAAI Transactions on Intelligent Systems,2015,10():1.[doi:10.3969/j.issn.1673-4785.201403072]
[9]孔庆超,毛文吉,张育浩.社交网站中用户评论行为预测[J].智能系统学报,2015,10(3):349.[doi:10.3969/j.issn.1673-4785.201403019]
 KONG Qingchao,MAO Wenji,ZHANG Yuhao.User comment behavior prediction in social networking sites[J].CAAI Transactions on Intelligent Systems,2015,10():349.[doi:10.3969/j.issn.1673-4785.201403019]
[10]姚霖,刘轶,李鑫鑫,等.词边界字向量的中文命名实体识别[J].智能系统学报,2016,11(1):37.[doi:10.11992/tis.201507065]
 YAO Lin,LIU Yi,LI Xinxin,et al.Chinese named entity recognition via word boundarybased character embedding[J].CAAI Transactions on Intelligent Systems,2016,11():37.[doi:10.11992/tis.201507065]

备注/Memo

收稿日期:2017-06-24。
基金项目:国家自然科学基金青年科学基金项目(61503179);江苏省青年基金项目(BK20150586).
作者简介:栾寻,男,1994年生,硕士研究生,主要研究方向为大规模机器学习、推荐系统。
通讯作者:高尉.E-mail:gaow@lamda.nju.edu.cn.

更新日期/Last Update: 2018-06-25
Copyright @ 《 智能系统学报》 编辑部
地址:(150001)黑龙江省哈尔滨市南岗区南通大街145-1号楼 电话:0451- 82534001、82518134