[1] Sinno Pan J L,Yang Q.A survey on transfer learning[J].IEEE Trans on Knowledge and Data Engineering,2009,22(10):1345-1359.[2] Raina R,Battle A,Lee H,Packer B,Ng Y A.Self-taught learning:Transfer learning from unlabeled data .Proc 24th ICML .New York:ACM Press,2007.759-766.[3] Xue G R,Dai W Y,Yang Q,Yu Y.Topic-bridged PLSA for cross-domain text classifcation .Proc 31th International ACM SIGIR Conference on Research and Development in Information Retrieval .New York:ACM Press,2008.627-634.[4] Sinno Pan J L,Tsang I W,T.Kwok J,Yang Q.Domain adaptation via transfer component analysis .Proc 21th IJCAI .San Francisco:ACM Press,2009.1187-1192.[5] Glorot X,Bordes A,Bengio Y.Domain adaptation for large-scale sentiment classifcation:A deep learning approach .Proc 28th ICML .Bellevue:ACM Press,2011.513-520.[6] Duan L X,Tsang I W,Xu D.Domain transfer multiple kernel learning[J].IEEE Trans on PAMI,2012,34(3):465-479.[7] 于重重,田蕊,谭励,等.非平衡样本分类的集成迁移学习算法[J].电子学报,2012,40(7):1358-1363. YU Chong-chong,TIAN Rui,TAN Li,et al.Integrated transfer learning algorithmic for unbalanced samples classification[J].Acta Electronica Sinica,2012,40(7):1358-1363.(in Chinese)[8] Yang P,Tan Q,Ding Y.Bayesian task-level transfer learning for non-linear regression .Proc CSSE .Wu Han:IEEE Press,2008.62-65.[9] Astrom K J,McAvoy T J.Intelligent control[J].Journal of Process Control,1993,2(3):115-127.[10] Chung F L,Deng Z H,Wang S T.An adaptive fuzzy-inference-rule-based flexible model for automatic elastic image registration[J].IEEE Trans on Fuzzy Systems,2009,17(5):995-1010.[11] 袁学海,李洪兴,孙凯彪.基于参数单点模糊化方法的模糊系统及其逼近能力[J].电子学报,2011,39(10):2372-2377. YUAN Xue-hai,LI Hong-xing,SUN Kai-biao.Fuzzy systems and their approximation capability based on parameter singleton fuzzifier methods[J].Acta Electronica Sinica,2011,39(10):2372-2377.(in Chinese)[12] Le Moigne J,Campbell W J,Cromp R F.An automated parallel image registration technique based on the correlation of wavelet features[J].IEEE Trans on Geoscience and Remote Sensing Society,2002,40(8):1849-1864.[13] Deng Z H,Choi K S,Chung F L,Wang S T.Scalable TSK fuzzy modeling for very large datasets using minimal-enclosing-ball approximation[J].IEEE Trans on Fuzzy Systems,2011,19(2):210-226.[14] Takagi T,Sugeno M.Fuzzy identifcation of systems and its application to modeling and control[J].IEEE Trans on Systems Man and Cybernetics,1985,15(1):116-132.[15] Mamdani E H.Application of fuzzy logic to approximate reasoning using linguistic systems[J].IEEE Trans on Computer,1977,26(12):1182-1191.[16] Azeem M F,Hanmandlu M,Ahmad N.Generalization of adaptive neuro-fuzzy inference systems[J].IEEE Trans on Neural Networks,2000,11(6):1332-1346.[17] Juang C F,Lo C.Zero-order TSK-type fuzzy system learning using a two-phase swarm intelligence algorithm[J].Fuzzy Sets and System,2008,159(21):2910-2926.[18] Hall L O,Goldgof D B.Convergence of the single-pass and online fuzzy c-means algorithms[J].IEEE Trans on Fuzzy Systems,2011,19(4):792-794.[19] Zhu L,Chung F L,Wang S T.Generalized fuzzy c-means clustering algorithm with improved fuzzy partitions[J].IEEE Trans on SMC-B,2009,39(3):578-591.[20] Leski J.TSK-fuzzy modeling based on ε-insensitive learning[J].IEEE Trans on Fuzzy Systems,2005,13(2):181-193.[21] Tsang I W,Kwok J T,Zurada J M.Generalized core vector machines[J].IEEE Trans on Neural Networks,2006,17(5):1126-1140.[22] Fan R E,Chan P H,Lin C J.Working set selection using second order information for training support vector machines[J].Journal of Machine Learning Research,2005,6:1889-1918.[23] Ito K,Nakano R.Optimizing support vector regression hyperparameters based on cross-validation .Proc IJCNN .Illinois:IEEE Press,2003.2077-2082.[24] 邓乃杨,田英杰.数据挖掘的新方法——支持向量机[M].北京:科学出版杜,2004.5-16. DENG Nai-yang,TIAN Ying-jie.New Method in Data Mining:Support Vector Machine .Beijing,China:Science Press,2004.5-16.(in Chinese) |