Incremental and Decremental Learning for Linear Support Vector Machines
暂无分享,去创建一个
Lluís A. Belanche Muñoz | Enrique Romero | Ignacio Barrio | E. Romero | Ignacio Barrio | L. B. Muñoz
[1] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[2] Tapio Elomaa,et al. Machine Learning: ECML 2002 , 2002, Lecture Notes in Computer Science.
[3] Tao Xiong,et al. A combined SVM and LDA approach for classification , 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..
[4] Gert Cauwenberghs,et al. SVM incremental learning, adaptation and optimization , 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..
[5] Robert Tibshirani,et al. The Entire Regularization Path for the Support Vector Machine , 2004, J. Mach. Learn. Res..
[6] Gert Cauwenberghs,et al. Incremental and Decremental Support Vector Machine Learning , 2000, NIPS.
[7] J. Gower,et al. Metric and Euclidean properties of dissimilarity coefficients , 1986 .
[8] Mario Martín,et al. On-Line Support Vector Machine Regression , 2002, ECML.
[9] Nello Cristianini,et al. Dynamically Adapting Kernels in Support Vector Machines , 1998, NIPS.
[10] Jason Weston,et al. Gene Selection for Cancer Classification using Support Vector Machines , 2002, Machine Learning.