Computer Science ›› 2017, Vol. 44 ›› Issue (Z11): 381-384.doi: 10.11896/j.issn.1002-137X.2017.11A.080

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Safety-aware Transfer Learning Support Vector Machine

ZHOU Guo-hua, CHAO Hai-jing and SHEN Yan-ping   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Transfer learning method is a new machine learning framework,which aims at realizing an effective learning for target domain by efficiently transferring the existing knowledge from source domain to target domain.It would be nice to reduce the need and effort to recollect the training data.However,the classifier trained by the data of source domain and target domain often put in a worse performance than the classifier only trained by the data of target domain,which leads to the appearance of “negative transfer”.To address this problem,a safety-control mechanism with the knowledge of the labeled data of target domain was proposed for safe transfer leaning.Furthermore,in implementation,based on a recent transfer learning method (TL-SVM),a safety-aware transfer learning support vector machine(STL-SVM) was proposed,which avoids the appearance of “negative transfer” of TL-SVM theoretically.Experiment results on artificial datasets and real-world datasets show the effectiveness of the proposed method.

Key words: Transfer learning,Support vector machine,Classification

[1] PAN S J,YANG Q.A survey on transfer learning[J].IEEE Transactions on Knowledge & Data Engineering,2010,22(10):1345-1359.
[2] 庄福振,罗平,何清等.迁移学习研究进展[J].软件学报,2015,6(1):26-39.
[3] WEISS K,TAGHI M K,WANG D D.A survey of transferlearning[J].Journey of Big Data,2016,3(9):1-40.
[4] LU J,BEHBOOD V,HAO P,et al.Transfer learning using com-putational intelligence:a survey[J].Knowledge-Based Systems,2015,80(5):14-23.
[5] BIONDI G O,PRATI R C.Setting parameters for support vector aachines using transfer learning[J].Journal of Intelligent & Robotic Systems,2015,80(12):295-311.
[6] YING L,LIU B.Application of transfer learning in task recommendation system[J].Procedia Engineering,2017,174(2):518-523.
[7] OPBROEK V,IKRAM A.Transfer learning improves super-vised image segmentation across imaging protocols[J].IEEE Transactions on Medical Imaging,2015,34(5):1018-1030.
[8] YANG C J,DENG Z H,CHOI K S,et al.Takagi-Sugeno-Kang transfer learning fuzzy logic system for the adaptive recognition of epileptic electroencephalogram signals[J].IEEE Transactions on Fuzzy Systems,2016,24(5):1079-1094.
[9] CHENG B,LIU M X,ZHANG D Q,et al.Domain transfer learning for MCI conversion prediction[J].IEEE Transactions on Biomedical Engineering,2015,62(7):1805-1817.
[10] MEI S Y.SVM ensemble based transfer learning for large-scale membrane proteins discrimination[J].Journal of TheoreticalBiology,2014,340(1):105-110.
[11] UGENT J D,BURM M,KINDERMANS P J.Transfer learning of gaits on a quadrupedal robot[J].Adaptive Behavior,2015,23(2):69-82.
[12] GAO J,FAN W,JIANG J,et al.Knowledge transfer via multiple model local structure mapping[C]∥ACM the 14th SIGKDD International Conference on Knowledge Discovery and Data Mining.New York,USA:ACM,2008:283-291.
[13] 洪佳明,印鉴,黄云,等.一种基于领域相似性的迁移学习算法[J].计算机研究与发展,2011,48(10):1823-1830.
[14] 许敏,王士同,顾鑫.TL-SVM:一种迁移学习新算法[J].控制与决策,2014,29(1):141-146.
[15] VAPNIK V.Statistical Learning Theory[M].John Wiley and Sons,1998.
[16] ARGYRIOU A,MICCHELLI C A,PONTIL M.When is there a representer theorem? vector versus matrix regularizers [J].Journal of Machine Learning Research,2009,10(12):2507-2529.
[17] 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.
[18] XIANG E W,CAO B,HU D H,et al.Bridging domains using world wide knowledge for transfer learning[J].IEEE Transactions on Knowledge and Data Engineering,2010,22(6):770-783.
[19] BRUZZONE L,MARCONCINI M.Domain adaptation prob-lems:A DASVM classification technique and a circular validation strategy[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2010,32(5):770-787.
[20] CHANG C C,LIN C J.LIBSVM:a library for support vector machines[J/OL].http://www.csie.ntu.edu.tw/~cjlin/li-bsvm,2001.

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