Wang Hao, Gao Yang, Chen Xing-Guo. Transfer of reinforcement learning: the state of the art. Acta Electronica Sinica, 2008, 36(12): 39-43 (王皓, 高阳, 陈兴国. 强化学习中的迁移: 方法和进展. 电子学报, 2008, 36(12): 39-43)
[2]
Yang Q. An introduction to transfer learning. In: Proceedings of the 4th International Advanced Data Mining and Applications Conference. Berlin, Heidelberg: Springer-Verlag, 2008. 1
[3]
Taylor M E, Stone P. Transfer learning for reinforcement learning domains: a survey. Journal of Machine Learning, 2009, 10: 1633-1685
[4]
Meng Jia-Na. Research on the Application of Transfer Learning on Text Classification [Ph.D. dissertation], Dalian University of Technology, China, 2011 (孟佳娜.迁移学习在文本分类中的应用 [博士学位论文]. 大连理工大学, 中国, 2011)
[5]
Gao Jun, Huang Li-Li, Sun Chang-Yin. A local weighted mean based domain adaptation learning framework. Acta Automatica Sinica, 2013, 39(7): 1037-1052 (皋军, 黄丽莉, 孙长银. 一种基于局部加权均值的领域适应学习框架. 自动化学报, 2013, 39(7): 1037-1052)
[6]
Dai W Y, Yang Q, Xue G R, Yu Y. Boosting for transfer learning. In: Proceedings of the 24th International Conference on Machine Learning. New York, USA: ACM, 2007. 193-200
[7]
Freund Y, Schapire R E. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 1997, 55(1): 119-139
[8]
Pardoe D, Stone P. Boosting for regression transfer. In: Proceedings of the 27th International Conference on Machine Learning (ICML-10). Haifa, Israel, 2010. 863-870
[9]
Eaton E, des Jardins M. Set-based boosting for instance-level transfer. In: Proceedings of the 2009 IEEE International Conference on Data Mining Workshops. Miami, FL: IEEE, 2009. 422-428
[10]
Eaton E. Selective Knowledge Transfer for Machine Learning [Ph.D. dissertation], University of Maryland Baltimore County, USA, 2009
[11]
Ying Wen-Hao, Wang Shi-Tong, Deng Zhao-Hong, Wang Jun. Support vector machine for domain adaptation based on class distributiond. Acta Automatica Sinica, 2012, 39(8): 1273-1288 (应文豪, 王士同, 邓赵红, 王骏. 基于类分布的领域自适应支持向量机. 自动化学报, 2012, 39(8): 1273-1288)
[12]
Al-Samir S, Reddy C K. Adaptive boosting for transfer learning using dynamic updates. In: Proceedings of the 2011 European Conference on Machine Learning and Knowledge Discovery in Databases. Berlin, Heidelberg, Springer-Verlag, 2011. 60-75
[13]
Eaton E, des Jardins M. Set-based boosting for instance-level transfer. In: Proceedings of the 2009 IEEE International Conference on Data Mining Workshops. Miami, FL: IEEE, 2009. 422-428
[14]
Zhang Qian, Li Hai-Gang, Li Ming, Cheng Yu-Hu. Instance-based transfer learning method with multi-source dynamic TrAdaBoost. Journal of China University of Mining and Technology, 2014, 43(4): 701-708(张倩, 李海港, 李明, 程玉虎. 基于多源动态TrAdaBoost的实例迁移学习方法. 中国矿业大学学报, 2014, 43(4): 701-708)
[15]
Griffin G, Holub A, Perona P. Caltech-256 Object Category Dataset, Technical Report 7694, California Institute of Technology, USA, 2007
[16]
Li Qiu-Jie, Mao Yao-Bin. AUC optimization boosting based on data rebalance. Acta Automatica Sinica, 2012, 38(9): 1467-1475 (李秋洁, 茅耀斌. 基于数据重平衡的AUC优化Boosting算法. 自动化学报, 2012, 38(9): 1467-1475)
