[1]王晓初,包芳,王士同,等.基于最小最大概率机的迁移学习分类算法[J].智能系统学报编辑部,2016,11(1):84-92.[doi:10.11992/tis.201505024]
 WANG Xiaochu,BAO Fang,WANG Shitong,et al.Transfer learning classification algorithms based on minimax probability machine[J].CAAI Transactions on Intelligent Systems,2016,11(1):84-92.[doi:10.11992/tis.201505024]
点击复制

基于最小最大概率机的迁移学习分类算法

参考文献/References:
[1] PAN S J, YANG Qiang. A survey on transfer learning[J]. IEEE transactions on knowledge and data engineering, 2010, 22(10):1345-1359.
[2] DAI Wenyuan, YANG Qiang, XUE Guirong, et al. Boosting for transfer learning[C]//Proceedings of the 24th International Conference on Machine learning. New York, NY, USA, 2007:193-200.
[3] PAN S J, KWOK J T, YANG Qiang. Transfer learning via dimensionality reduction[C]//Proceedings of the 23rd National Conference on Artificial Intelligence. AAAI, 2008, 2:677-682.
[4] 张景祥, 王士同, 邓赵红, 等. 具有协同约束的共生迁移学习算法研究[J]. 电子学报, 2014, 42(3):556-560. ZHENG Jingxiang, WANG Shitong, DENG Zhaohong, et al. Symbiosis transfer learning method with collaborative constraints[J]. Acta electronica sinica, 2014, 42(3):556-560.
[5] 于重重, 吴子珺, 谭励, 等. 非平衡集成迁移学习模型及其在桥梁结构健康监测中的应用[J]. 智能系统学报, 2013, 8(1):46-51. YU Chongchong, WU Zijun, TAN Li, et al. Unbalanced integrated transfer learning model and its application to bridge structural health monitoring[J]. CAAI transactions on intelligent systems, 2013, 8(1):46-51.
[6] 毕安琪, 王士同. 基于SVC和SVR约束组合的迁移学习分类算法[J]. 控制与决策, 2014, 29(6):1021-1026. BI Anqi, WANG Shitong. Transfer classification learning based on combination of both SVC and SVR’s constraints[J]. Control and decision, 2014, 29(6):1021-1026.
[7] 蒋亦樟, 邓赵红, 王士同. ML型迁移学习模糊系统[J]. 自动化学报, 2012, 38(9):1393-1409.JIANG Yizhang, DENG Zhaohong, WANG Shitong. Mamdani-larsen type transfer learning fuzzy system[J]. Acta automatica sinica, 2012, 38(9):1393-1409.
[8] LONG Mingsheng, WANG Jianmin, DING Guiguang, et al. Adaptation regularization:a general framework for transfer learning[J]. IEEE transactions on knowledge and data engineering, 2014, 26(5):1076-1089.
[9] LONG Mingsheng, WANG Jianmin, DING Guiguang, et al. Transfer learning with graph co-regularization[J]. IEEE transactions on knowledge and data engineering, 2014, 26(7):1805-1818.
[10] PERLICH C, DALESSANDRO B, RAEDER T, et al. Machine learning for targeted display advertising:transfer learning in action[J]. Machine learning, 2014, 95(1):103-127.
[11] LANCKRIET G R G, EL GHAOUI L, BHATTACHARYYA C, et al. A robust minimax approach to classification[J]. The journal of machine learning research, 2003(3):555-582.
[12] ISII K. On the sharpness of Chebyshev-type inequalities[J]. Annals of the institute of statistical mathematics, 1963(14):185-197.
[13] BERTSIMAS D, SETHURAMAN J. Moment problems and semidefinite optimization[M]//WOLKOWICZ H, SAIGAL R, VANDENBERGHE L. Handbook of Semidefinite Programming. 3rd ed. US:Springer, 2000:469-509.
[14] CHERNOFF H. The selection of effective attributes for deciding between hypotheses using linear Discriminant functions[C]//The Proceedings of the International Conference on Frontiers of Pattern Recognition. New York, USA, 1972:55-60.
[15] 陈宝林. 最优化理论与算法[M]. 2版. 北京:清华大学出版社, 2005. CHEN Baolin. Optimization theory and algorithm[M]. 2nd ed. Beijing:Tsinghua University Press, 2005.
[16] PLAN Y, VERSHYNIN R. Robust 1-bit compressed sensing and sparse logistic regression:a convex programming approach[J]. IEEE transactions on information theory, 2012, 59(1):482-494.
[17] BENSOUSSAN A, TEMAM R. Equations aux derivees partielles stochastiques non iineaires[J]. Israel journal of mathematics,1972,11(1):95-129.
[18] BOYD S, VANDENBERGHE L, FAYBUSOVICH L. Convex optimization[J]. IEEE transactions on automatic control, 2006, 51(11):1859.
相似文献/References:
[1]王跃,杨燕,王红军.一种基于少量标签的改进迁移模糊聚类[J].智能系统学报编辑部,2016,11(3):310.[doi:10.11992/tis.201603046]
 WANG Yue,YANG Yan,WANG Hongjun.An improved transfer fuzzy clustering with few labels[J].CAAI Transactions on Intelligent Systems,2016,11():310.[doi:10.11992/tis.201603046]
[2]程旸,蒋亦樟,钱鹏江,等.知识迁移的极大熵聚类算法及其在纹理图像分割中的应用[J].智能系统学报编辑部,2017,12(2):179.[doi:10.11992/tis.201603005]
 CHENG Yang,JIANG Yizhang,QIAN Pengjiang,et al.A maximum entropy clustering algorithm based on knowledge transfer and its application to texture image segmentation[J].CAAI Transactions on Intelligent Systems,2017,12():179.[doi:10.11992/tis.201603005]
[3]许敏,史荧中,葛洪伟,等.一种具有迁移学习能力的RBF-NN算法及其应用[J].智能系统学报编辑部,2018,13(6):959.[doi:10.11992/tis.201705021]
 XU Min,SHI Yingzhong,GE Hongwei,et al.A RBF-NN algorithm with transfer learning ability and its application[J].CAAI Transactions on Intelligent Systems,2018,13():959.[doi:10.11992/tis.201705021]
[4]莫宏伟,汪海波.基于Faster R-CNN的人体行为检测研究[J].智能系统学报编辑部,2018,13(6):967.[doi:10.11992/tis.201801025]
 MO Hongwei,WANG Haibo.Research on human behavior detection based on Faster R-CNN[J].CAAI Transactions on Intelligent Systems,2018,13():967.[doi:10.11992/tis.201801025]
[5]凌彤,杨琬琪,杨明.利用多模态U形网络的CT图像前列腺分割[J].智能系统学报编辑部,2018,13(6):981.[doi:10.11992/tis.201806012]
 LING Tong,YANG Wanqi,YANG Ming.Prostate segmentation in CT images with multimodal U-net[J].CAAI Transactions on Intelligent Systems,2018,13():981.[doi:10.11992/tis.201806012]
[6]余鹰,王乐为,吴新念,等.基于改进卷积神经网络的多标记分类算法[J].智能系统学报编辑部,2019,14(3):566.[doi:10.11992/tis.201804056]
 YU Ying,WANG Lewei,WU Xinnian,et al.A multi-label classification algorithm based on an improved convolutional neural network[J].CAAI Transactions on Intelligent Systems,2019,14():566.[doi:10.11992/tis.201804056]
[7]洪雁飞,魏本征,刘川,等.基于深度学习的椎间孔狭窄自动多分级研究[J].智能系统学报编辑部,2019,14(4):708.[doi:10.11992/tis.201806015]
 HONG Yanfei,WEI Benzheng,LIU Chuan,et al.Deep learning based automatic multi-classification algorithm for intervertebral foraminal stenosis[J].CAAI Transactions on Intelligent Systems,2019,14():708.[doi:10.11992/tis.201806015]
[8]鲁绪正,蔡恒进,林莉.基于Capsule网络的甲骨文构件识别方法[J].智能系统学报编辑部,2020,15(2):243.[doi:10.11992/tis.201904069]
 LU Xuzheng,CAI Hengjin,LIN Li.Recognition of Oracle Radical based on the Capsule network[J].CAAI Transactions on Intelligent Systems,2020,15():243.[doi:10.11992/tis.201904069]
[9]商显震,韩萌,王少峰,等.融合迁移学习和神经网络的皮肤病诊断方法[J].智能系统学报编辑部,2020,15(3):452.[doi:10.11992/tis.201811015]
 SHANG Xianzhen,HAN Meng,WANG Shaofeng,et al.A skin diseases diagnosis method combining transfer learning and neural networks[J].CAAI Transactions on Intelligent Systems,2020,15():452.[doi:10.11992/tis.201811015]
[10]马岭,鲁越,蒋慧琴,等.基于小样本学习的LCD产品缺陷自动检测方法[J].智能系统学报编辑部,2020,15(3):560.[doi:10.11992/tis.201904020]
 MA Ling,LU Yue,JIANG Huiqin,et al.An automatic small sample learning-based detection method for LCD product defects[J].CAAI Transactions on Intelligent Systems,2020,15():560.[doi:10.11992/tis.201904020]

备注/Memo

收稿日期:2015-05-11;改回日期:。
基金项目:国家自然科学基金资助项目(61170122,61272210).
作者简介:王晓初,男,1987年生,硕士研究生,主要研究方向为人工智能与模式识别、数字图像处理;包芳,女,1970年生,教授,博士,主要研究方向为人工智能、模式识别、图像视觉;王士同,男,1964年生,教授、博士生导师,主要研究方向为人工智能。主持或参加过6项国家自然科学基金项目,1项国家教委优秀青年教师基金项目,其他省部级科研项目10多项。先后获国家教委、中船总公司和江苏省省部级科技进步奖5项。发表学术论文近百篇,被SCI、EI检索50余篇。
通讯作者:王晓初.E-mail:icnice@yeah.net.

更新日期/Last Update: 1900-01-01
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 邮箱:tis@vip.sina.com