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All publications by Stephen P. Boyd
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An Interior-Point Method for Large-Scale {\it l}$_{\mbox{1}}$-Regularized Logistic Regression
Kwangmoo Koh, Seung-jean Kim and Stephen P. Boyd
Journal of Machine Learning Research, 2007


A duality view of spectral methods for dimensionality reduction
Lin Xiao, Jun Sun and Stephen P. Boyd
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Pareto optimal linear classification
Seung-jean Kim, Alessandro Magnani, Sikandar Samar, Stephen P. Boyd and Johan Lim
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Optimal kernel selection in Kernel Fisher discriminant analysis
Seung-jean Kim, Alessandro Magnani and Stephen P. Boyd
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006