Liu Jian-Wei, Li Shuang-Cheng, Luo Xiong-Lin. Classification algorithm of support vector machine via p-norm regularization. Acta Automatica Sinica, 2012, 38(1): 76-87(刘建伟, 李双成, 罗雄麟. p范数正则化支持向量机分类算法. 自动化学报, 2012, 38(1): 76-87)
Han Yan-Jun, Wang Jue. A bi-sparse relational learning algorithm based on multiple kernel learning. Journal of Machine Learning Research Development, 2010, 47(3): 1400- 1406(韩彦军, 王珏. 基于多核学习的双稀疏关系学习算法. 计算机研究与发展, 2010, 47(8): 1400-1406)
[4]
Sonnenburg S, R?tsch G, Sch?fer C, Sch?lkopf B. Large scale multiple kernel learning. Journal of Machine Learning Research, 2006, 7(1): 1531-1565
[5]
Xu Z L, Jin R, Yang H Q, King I, Lyu M R. Simple and efficient multiple kernel learning by group lasso. In: Proceedings of the 2010 International Conference Machine Learning. Haifa, Israel: ICML, 2010. 1-8
[6]
Duan L X, Tsang I W, Xu D. Domain transfer multiple kernel learning. IEEE Transactions on Pattern Analysis Machine Intelligence, 2012, 34(3): 123-131
[7]
Rakotomamonjy A, Bach F, Canu S, Grandvalet Y. SimpleMKL. Journal of Machine Learning Research, 2008, 9(1): 2491-2521
[8]
Yang H Q, Xu Z L, Ye J P, King I, Lyu M R. Efficient sparse generalized multiple kernel learning. IEEE Transactions on Neural Networks, 2011, 22(3): 433-446
[9]
Wang Hong-Qiao, Sun Fu-Chun, Cai Yan-Ning, Chen Ning, Ding Lin-Ge. On multiple kernel learning methods. Acta Automatica Sinica, 2010, 36(8): 1037-1050(汪洪桥, 孙富春, 蔡艳宁, 陈宁, 丁林阁. 多核学习方法. 自动化学报, 2010, 36(8): 1037-1050)
[10]
Ying Wen-Hao, Wang Shi-Tong, Deng Zhao-Hong, Wang Jun. Support vector machine for domain adaptation based on class distributioned. Acta Automatica Sinica, 2012, 38(12): 1-16(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, 38(12): 1-16)
[11]
Xu Z L, Jin R, Zhu S H, Lyu M R, King I. Smooth optimization for effective multiple kernel learning. In: Proceedings of the 24th the Association for the Advancement of Artificial Intelligence. California, America: AAAI, 2010. 543-549
[12]
Bach F R, Lanckriet G R G, Jordan M I. Multiple kernel learning, conic duality, and the SMO algorithm. In: Proceedings of the 21st International Conference Machine Learning. New York, USA: ACM, 2004. 6-13
[13]
Wang Z, Chen S C, Sun T K. MultiK-MHKS: a novel multiple kernel learning algorithm. IEEE Transactions on Pattern Analysis Machine Intelligence, 2008, 30(2): 12-18
[14]
Cortes C, Mohri M, Rostamizadeh A. L2 regularization for learning kernels. In: Proceedings of the 25th Conference on Uncertainty Artificial Intelligence. Arlington, Virginia, United States: AUAI Press, 2009. 1-8
[15]
Hardoon D R, Szedmak S, Shawe-Taylor J. Canonical correlation analysis: an overview with application to learning methods. Neural Computering, 2004, 16(12): 2639-2664