Kernel Learning
Nello Cristianini, John Shawe-Taylor, Andre Elisseeff and Jaz Kandola (2001). On Kernel-Target Alignment. Advances in Neural Information Processing Systems 14, 367-373, Vancouver, British Columbia, Canada.
Kristin P. Bennett, Michinari Momma and Mark J. Embrechts (2002). MARK: A Boosting Algorithm for Heterogeneous Kernel Models. In Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 24-31, Edmonton, Alberta, Canada.
Olivier Bousquet and Daniel J. L. Herrmann (2002). On the Complexity of Learning the Kernel Matrix. Advances in Neural Information Processing Systems 15, 399-406, Vancouver, British Columbia, Canada.
Gert R. G. Lanckriet, Nello Christianini, Peter L. Bartlett, Laurent El Ghaoui and Michael I. Jordan (2002). Learning the Kernel Matrix with Semi-Definite Programming. In Proceedings of the Nineteenth International Conference on Machine Learning, 323-330, Sydney, NSW, Australia.
Francis R. Bach, Gert R. G. Lanckriet and Michael I. Jordan (2004). Multiple Kernel Learning, Conic Fuality, and the SMO Algorithm. In Proceedings of the Twenty-first International Conference on Machine Learning, 6-13, Banff, Alberta, Canada.
Jinbo Bi, Tong Zhang and Kristin P. Bennett (2004). Column-Generation Boosting Methods for Mixture of Kernels. In Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 521-526, Seattle, WA, USA.
Glenn Fung, Murat Dundar, Jinbo Bi and Bharat Rao (2004). A Fast Iterative Algorithm for Fisher Discriminant using Heterogeneous Kernels. In Proceedings of the Twenty-first International Conference on Machine Learning, Banff, Alberta, Canada.
Cheng Soon Ong, Alexander J. Smola and Robert C. Williamson (2005). Learning the Kernel with Hyperkernels. Journal of Machine Learning Research, 6, 1043-1071.
Huilin Xiong, M. N. S. Swamy and M. Omair Ahmad (2005). Optimizing the Kernel in the Empirical Feature Space. IEEE Transactions on Neural Networks, 16, 460-474.
Charles A. Micchelli and Massimiliano Pontil (2005). Learning the Kernel Function via Regularization. Journal of Machine Learning Research, 6, 1099-1125.
Seung-Jean Kim, Alessandro Magnani and Stephen Boyd (2006). Optimal Kernel Selection in Kernel Fisher Discriminant Analysis. In Proceedings of the Twenty-third International Conference on Machine Learning, 465-472, Pittsburgh, Pennsylvania, USA.
Andreas Argyriou, Raphael Hauser, Charles A. Micchelli and Massimiliano Pontil (2006). A DC-Programming Algorithm for Kernel Selection. In Proceedings of the Twenty-third International Conference on Machine Learning, 41-48, Pittsburgh, Pennsylvania, USA.
Tomer Hertz, Aharon Bar Hillel and Daphna Weinshall (2006). Learning a Kernel Function for Classification with Small Training Samples. In Proceedings of the Twenty-third International Conference on Machine Learning, 401-408, Pittsburgh, Pennsylvania, USA.
Darrin P. Lewis, Tony Jebara and William Stafford Noble (2006). Nonstationary Kernel Combination. In Proceedings of the Twenty-third International Conference on Machine Learning, 553-560, Pittsburgh, Pennsylvania.